Release v4.11.1

* Fix length of IterableDatasetShard and add test

* Add comments

.circleci/TROUBLESHOOT.md

@@ -1,6 +1,6 @@
 # Troubleshooting
 
-This is a document explaining how to deal with various issues on Circle-CI. The entries may include actual solutions or pointers to Issues that cover those.
+This is a document explaining how to deal with various issues on Circle-CI. The entries may include actually solutions or pointers to Issues that cover those.
 
 ## Circle CI
 

.circleci/create_circleci_config.py

@@ -1,394 +0,0 @@
-# coding=utf-8
-# Copyright 2022 The HuggingFace Inc. team.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import argparse
-import copy
-import os
-import random
-from dataclasses import dataclass
-from typing import Any, Dict, List, Optional
-import glob
-import yaml
-
-
-COMMON_ENV_VARIABLES = {
-    "OMP_NUM_THREADS": 1,
-    "TRANSFORMERS_IS_CI": True,
-    "PYTEST_TIMEOUT": 120,
-    "RUN_PIPELINE_TESTS": False,
-    # will be adjust in `CircleCIJob.to_dict`.
-    "RUN_FLAKY": True,
-}
-# Disable the use of {"s": None} as the output is way too long, causing the navigation on CircleCI impractical
-COMMON_PYTEST_OPTIONS = {"max-worker-restart": 0, "vvv": None, "rsfE":None}
-DEFAULT_DOCKER_IMAGE = [{"image": "cimg/python:3.8.12"}]
-
-# Strings that commonly appear in the output of flaky tests when they fail. These are used with `pytest-rerunfailures`
-# to rerun the tests that match these patterns.
-FLAKY_TEST_FAILURE_PATTERNS = [
-    "OSError",  # Machine/connection transient error
-    "Timeout",  # Machine/connection transient error
-    "ConnectionError",  # Connection transient error
-    "FileNotFoundError",  # Raised by `datasets` on Hub failures
-    "PIL.UnidentifiedImageError",  # Raised by `PIL.Image.open` on connection issues
-    "HTTPError",  # Also catches HfHubHTTPError
-    "AssertionError: Tensor-likes are not close!",  # `torch.testing.assert_close`, we might have unlucky random values
-    # TODO: error downloading tokenizer's `merged.txt` from hub can cause all the exceptions below. Throw and handle
-    # them under a single message.
-    "TypeError: expected str, bytes or os.PathLike object, not NoneType",
-    "TypeError: stat: path should be string, bytes, os.PathLike or integer, not NoneType",
-    "Converting from Tiktoken failed",
-    "KeyError: <class ",
-    "TypeError: not a string",
-]
-
-
-class EmptyJob:
-    job_name = "empty"
-
-    def to_dict(self):
-        steps = [{"run": 'ls -la'}]
-        if self.job_name == "collection_job":
-            steps.extend(
-                [
-                    "checkout",
-                    {"run": "pip install requests || true"},
-                    {"run": """while [[ $(curl --location --request GET "https://circleci.com/api/v2/workflow/$CIRCLE_WORKFLOW_ID/job" --header "Circle-Token: $CCI_TOKEN"| jq -r '.items[]|select(.name != "collection_job")|.status' | grep -c "running") -gt 0 ]]; do sleep 5; done || true"""},
-                    {"run": 'python utils/process_circleci_workflow_test_reports.py --workflow_id $CIRCLE_WORKFLOW_ID || true'},
-                    {"store_artifacts": {"path": "outputs"}},
-                    {"run": 'echo "All required jobs have now completed"'},
-                ]
-            )
-
-        return {
-            "docker": copy.deepcopy(DEFAULT_DOCKER_IMAGE),
-            "resource_class": "small",
-            "steps": steps,
-        }
-
-
-@dataclass
-class CircleCIJob:
-    name: str
-    additional_env: Dict[str, Any] = None
-    docker_image: List[Dict[str, str]] = None
-    install_steps: List[str] = None
-    marker: Optional[str] = None
-    parallelism: Optional[int] = 0
-    pytest_num_workers: int = 8
-    pytest_options: Dict[str, Any] = None
-    resource_class: Optional[str] = "xlarge"
-    tests_to_run: Optional[List[str]] = None
-    num_test_files_per_worker: Optional[int] = 10
-    # This should be only used for doctest job!
-    command_timeout: Optional[int] = None
-
-    def __post_init__(self):
-        # Deal with defaults for mutable attributes.
-        if self.additional_env is None:
-            self.additional_env = {}
-        if self.docker_image is None:
-            # Let's avoid changing the default list and make a copy.
-            self.docker_image = copy.deepcopy(DEFAULT_DOCKER_IMAGE)
-        else:
-            # BIG HACK WILL REMOVE ONCE FETCHER IS UPDATED
-            print(os.environ.get("GIT_COMMIT_MESSAGE"))
-            if "[build-ci-image]" in os.environ.get("GIT_COMMIT_MESSAGE", "") or os.environ.get("GIT_COMMIT_MESSAGE", "") == "dev-ci":
-                self.docker_image[0]["image"] = f"{self.docker_image[0]['image']}:dev"
-            print(f"Using {self.docker_image} docker image")
-        if self.install_steps is None:
-            self.install_steps = ["uv pip install ."]
-        # Use a custom patched pytest to force exit the process at the end, to avoid `Too long with no output (exceeded 10m0s): context deadline exceeded`
-        self.install_steps.append("uv pip install git+https://github.com/ydshieh/pytest.git@8.4.1-ydshieh")
-        if self.pytest_options is None:
-            self.pytest_options = {}
-        if isinstance(self.tests_to_run, str):
-            self.tests_to_run = [self.tests_to_run]
-        else:
-            test_file = os.path.join("test_preparation" , f"{self.job_name}_test_list.txt")
-            print("Looking for ", test_file)
-            if os.path.exists(test_file):
-                with open(test_file) as f:
-                    expanded_tests = f.read().strip().split("\n")
-                self.tests_to_run = expanded_tests
-                print("Found:", expanded_tests)
-            else:
-                self.tests_to_run = []
-                print("not Found")
-
-    def to_dict(self):
-        env = COMMON_ENV_VARIABLES.copy()
-        # Do not run tests decorated by @is_flaky on pull requests
-        env['RUN_FLAKY'] = os.environ.get("CIRCLE_PULL_REQUEST", "") == ""
-        env.update(self.additional_env)
-
-        job = {
-            "docker": self.docker_image,
-            "environment": env,
-        }
-        if self.resource_class is not None:
-            job["resource_class"] = self.resource_class
-
-        all_options = {**COMMON_PYTEST_OPTIONS, **self.pytest_options}
-        pytest_flags = [f"--{key}={value}" if (value is not None or key in ["doctest-modules"]) else f"-{key}" for key, value in all_options.items()]
-        pytest_flags.append(
-            f"--make-reports={self.name}" if "examples" in self.name else f"--make-reports=tests_{self.name}"
-        )
-                # Examples special case: we need to download NLTK files in advance to avoid cuncurrency issues
-        timeout_cmd = f"timeout {self.command_timeout} " if self.command_timeout else ""
-        marker_cmd = f"-m '{self.marker}'" if self.marker is not None else ""
-        junit_flags = f" -p no:warning -o junit_family=xunit1 --junitxml=test-results/junit.xml"
-        joined_flaky_patterns = "|".join(FLAKY_TEST_FAILURE_PATTERNS)
-        repeat_on_failure_flags = f"--reruns 5 --reruns-delay 2 --only-rerun '({joined_flaky_patterns})'"
-        parallel = f' << pipeline.parameters.{self.job_name}_parallelism >> '
-        steps = [
-            "checkout",
-            {"attach_workspace": {"at": "test_preparation"}},
-            {"run": "apt-get update && apt-get install -y curl"},
-            {"run": " && ".join(self.install_steps)},
-            {"run": {"name": "Download NLTK files", "command": """python -c "import nltk; nltk.download('punkt', quiet=True)" """} if "example" in self.name else "echo Skipping"},
-            {"run": {
-                    "name": "Show installed libraries and their size",
-                    "command": """du -h -d 1 "$(pip -V | cut -d ' ' -f 4 | sed 's/pip//g')" | grep -vE "dist-info|_distutils_hack|__pycache__" | sort -h | tee installed.txt || true"""}
-            },
-            {"run": {
-                "name": "Show installed libraries and their versions",
-                "command": """pip list --format=freeze | tee installed.txt || true"""}
-            },
-            {"run": {
-                "name": "Show biggest libraries",
-                "command": """dpkg-query --show --showformat='${Installed-Size}\t${Package}\n' | sort -rh | head -25 | sort -h | awk '{ package=$2; sub(".*/", "", package); printf("%.5f GB %s\n", $1/1024/1024, package)}' || true"""}
-            },
-            {"run": {"name": "Create `test-results` directory", "command": "mkdir test-results"}},
-            {"run": {"name": "Get files to test", "command":f'curl -L -o {self.job_name}_test_list.txt <<pipeline.parameters.{self.job_name}_test_list>> --header "Circle-Token: $CIRCLE_TOKEN"' if self.name != "pr_documentation_tests" else 'echo "Skipped"'}},
-                        {"run": {"name": "Split tests across parallel nodes: show current parallel tests",
-                    "command": f"TESTS=$(circleci tests split  --split-by=timings {self.job_name}_test_list.txt) && echo $TESTS > splitted_tests.txt && echo $TESTS | tr ' ' '\n'" if self.parallelism else f"awk '{{printf \"%s \", $0}}' {self.job_name}_test_list.txt > splitted_tests.txt"
-                    }
-            },
-            {"run": {"name": "fetch hub objects before pytest", "command": "python3 utils/fetch_hub_objects_for_ci.py"}},
-            {"run": {
-                "name": "Run tests",
-                "command": f"({timeout_cmd} python3 -m pytest {marker_cmd} -n {self.pytest_num_workers} {junit_flags} {repeat_on_failure_flags} {' '.join(pytest_flags)} $(cat splitted_tests.txt) | tee tests_output.txt)"}
-            },
-            {"run": {"name": "Expand to show skipped tests", "when": "always", "command": f"python3 .circleci/parse_test_outputs.py --file tests_output.txt --skip"}},
-            {"run": {"name": "Failed tests: show reasons",   "when": "always", "command": f"python3 .circleci/parse_test_outputs.py --file tests_output.txt --fail"}},
-            {"run": {"name": "Errors",                       "when": "always", "command": f"python3 .circleci/parse_test_outputs.py --file tests_output.txt --errors"}},
-            {"store_test_results": {"path": "test-results"}},
-            {"store_artifacts": {"path": "test-results/junit.xml"}},
-            {"store_artifacts": {"path": "reports"}},
-            {"store_artifacts": {"path": "tests.txt"}},
-            {"store_artifacts": {"path": "splitted_tests.txt"}},
-            {"store_artifacts": {"path": "installed.txt"}},
-        ]
-        if self.parallelism:
-            job["parallelism"] = parallel
-        job["steps"] = steps
-        return job
-
-    @property
-    def job_name(self):
-        return self.name if ("examples" in self.name or "pipeline" in self.name or "pr_documentation" in self.name) else f"tests_{self.name}"
-
-
-# JOBS
-torch_job = CircleCIJob(
-    "torch",
-    docker_image=[{"image": "huggingface/transformers-torch-light"}],
-    marker="not generate",
-    parallelism=6,
-)
-
-generate_job = CircleCIJob(
-    "generate",
-    docker_image=[{"image": "huggingface/transformers-torch-light"}],
-    # networkx==3.3 (after #36957) cause some issues
-    # TODO: remove this once it works directly
-    install_steps=["uv pip install ."],
-    marker="generate",
-    parallelism=6,
-)
-
-tokenization_job = CircleCIJob(
-    "tokenization",
-    docker_image=[{"image": "huggingface/transformers-torch-light"}],
-    parallelism=8,
-)
-
-processor_job = CircleCIJob(
-    "processors",
-    docker_image=[{"image": "huggingface/transformers-torch-light"}],
-    parallelism=8,
-)
-
-pipelines_torch_job = CircleCIJob(
-    "pipelines_torch",
-    additional_env={"RUN_PIPELINE_TESTS": True},
-    docker_image=[{"image":"huggingface/transformers-torch-light"}],
-    marker="is_pipeline_test",
-    parallelism=4,
-)
-
-custom_tokenizers_job = CircleCIJob(
-    "custom_tokenizers",
-    additional_env={"RUN_CUSTOM_TOKENIZERS": True},
-    docker_image=[{"image": "huggingface/transformers-custom-tokenizers"}],
-)
-
-
-examples_torch_job = CircleCIJob(
-    "examples_torch",
-    additional_env={"OMP_NUM_THREADS": 8},
-    docker_image=[{"image":"huggingface/transformers-examples-torch"}],
-    # TODO @ArthurZucker remove this once docker is easier to build
-    install_steps=["uv pip install . && uv pip install -r examples/pytorch/_tests_requirements.txt"],
-    pytest_num_workers=4,
-)
-
-hub_job = CircleCIJob(
-    "hub",
-    additional_env={"HUGGINGFACE_CO_STAGING": True},
-    docker_image=[{"image":"huggingface/transformers-torch-light"}],
-    install_steps=[
-        'uv pip install .',
-        'git config --global user.email "ci@dummy.com"',
-        'git config --global user.name "ci"',
-    ],
-    marker="is_staging_test",
-    pytest_num_workers=2,
-    resource_class="medium",
-)
-
-
-onnx_job = CircleCIJob(
-    "onnx",
-    docker_image=[{"image":"huggingface/transformers-torch-tf-light"}],
-    install_steps=[
-        "uv pip install .[testing,sentencepiece,onnxruntime,vision,rjieba]",
-    ],
-    pytest_options={"k onnx": None},
-    pytest_num_workers=1,
-    resource_class="small",
-)
-
-
-exotic_models_job = CircleCIJob(
-    "exotic_models",
-    docker_image=[{"image":"huggingface/transformers-exotic-models"}],
-    parallelism=4,
-    pytest_options={"durations": 100},
-)
-
-
-repo_utils_job = CircleCIJob(
-    "repo_utils",
-    docker_image=[{"image":"huggingface/transformers-consistency"}],
-    pytest_num_workers=4,
-    resource_class="large",
-)
-
-
-non_model_job = CircleCIJob(
-    "non_model",
-    docker_image=[{"image": "huggingface/transformers-torch-light"}],
-    # networkx==3.3 (after #36957) cause some issues
-    # TODO: remove this once it works directly
-    install_steps=["uv pip install .[serving]"],
-    marker="not generate",
-    parallelism=6,
-)
-
-
-# We also include a `dummy.py` file in the files to be doc-tested to prevent edge case failure. Otherwise, the pytest
-# hangs forever during test collection while showing `collecting 0 items / 21 errors`. (To see this, we have to remove
-# the bash output redirection.)
-py_command = 'from utils.tests_fetcher import get_doctest_files; to_test = get_doctest_files() + ["dummy.py"]; to_test = " ".join(to_test); print(to_test)'
-py_command = f"$(python3 -c '{py_command}')"
-command = f'echo """{py_command}""" > pr_documentation_tests_temp.txt'
-doc_test_job = CircleCIJob(
-    "pr_documentation_tests",
-    docker_image=[{"image":"huggingface/transformers-consistency"}],
-    additional_env={"TRANSFORMERS_VERBOSITY": "error", "DATASETS_VERBOSITY": "error", "SKIP_CUDA_DOCTEST": "1"},
-    install_steps=[
-        # Add an empty file to keep the test step running correctly even no file is selected to be tested.
-        "uv pip install .",
-        "touch dummy.py",
-        command,
-        "cat pr_documentation_tests_temp.txt",
-        "tail -n1 pr_documentation_tests_temp.txt | tee pr_documentation_tests_test_list.txt"
-    ],
-    tests_to_run="$(cat pr_documentation_tests.txt)",  # noqa
-    pytest_options={"-doctest-modules": None, "doctest-glob": "*.md", "dist": "loadfile", "rvsA": None},
-    command_timeout=1200,  # test cannot run longer than 1200 seconds
-    pytest_num_workers=1,
-)
-
-REGULAR_TESTS = [torch_job, hub_job, onnx_job, tokenization_job, processor_job, generate_job, non_model_job] # fmt: skip
-EXAMPLES_TESTS = [examples_torch_job]
-PIPELINE_TESTS = [pipelines_torch_job]
-REPO_UTIL_TESTS = [repo_utils_job]
-DOC_TESTS = [doc_test_job]
-ALL_TESTS = REGULAR_TESTS + EXAMPLES_TESTS + PIPELINE_TESTS + REPO_UTIL_TESTS + DOC_TESTS + [custom_tokenizers_job] + [exotic_models_job]  # fmt: skip
-
-
-def create_circleci_config(folder=None):
-    if folder is None:
-        folder = os.getcwd()
-    os.environ["test_preparation_dir"] = folder
-    jobs = [k for k in ALL_TESTS if os.path.isfile(os.path.join("test_preparation" , f"{k.job_name}_test_list.txt") )]
-    print("The following jobs will be run ", jobs)
-
-    if len(jobs) == 0:
-        jobs = [EmptyJob()]
-    else:
-        print("Full list of job name inputs", {j.job_name + "_test_list":{"type":"string", "default":''} for j in jobs})
-        # Add a job waiting all the test jobs and aggregate their test summary files at the end
-        collection_job = EmptyJob()
-        collection_job.job_name = "collection_job"
-        jobs = [collection_job] + jobs
-
-    config = {
-        "version": "2.1",
-        "parameters": {
-            # Only used to accept the parameters from the trigger
-            "nightly": {"type": "boolean", "default": False},
-            # Only used to accept the parameters from GitHub Actions trigger
-            "GHA_Actor": {"type": "string", "default": ""},
-            "GHA_Action": {"type": "string", "default": ""},
-            "GHA_Event": {"type": "string", "default": ""},
-            "GHA_Meta": {"type": "string", "default": ""},
-            "tests_to_run": {"type": "string", "default": ""},
-            **{j.job_name + "_test_list":{"type":"string", "default":''} for j in jobs},
-            **{j.job_name + "_parallelism":{"type":"integer", "default":1} for j in jobs},
-        },
-        "jobs": {j.job_name: j.to_dict() for j in jobs}
-    }
-    if "CIRCLE_TOKEN" in os.environ:
-        # For private forked repo. (e.g. new model addition)
-        config["workflows"] = {"version": 2, "run_tests": {"jobs": [{j.job_name: {"context": ["TRANSFORMERS_CONTEXT"]}} for j in jobs]}}
-    else:
-        # For public repo. (e.g. `transformers`)
-        config["workflows"] = {"version": 2, "run_tests": {"jobs": [j.job_name for j in jobs]}}
-    with open(os.path.join(folder, "generated_config.yml"), "w") as f:
-        f.write(yaml.dump(config, sort_keys=False, default_flow_style=False).replace("' << pipeline", " << pipeline").replace(">> '", " >>"))
-
-
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser()
-    parser.add_argument(
-        "--fetcher_folder", type=str, default=None, help="Only test that all tests and modules are accounted for."
-    )
-    args = parser.parse_args()
-
-    create_circleci_config(args.fetcher_folder)

.circleci/deploy.sh

@@ -0,0 +1,75 @@
+cd docs
+
+function deploy_doc(){
+	echo "Creating doc at commit $1 and pushing to folder $2"
+	git checkout $1
+	pip install -U ..
+	if [ ! -z "$2" ]
+	then
+		if [ "$2" == "master" ]; then
+		    echo "Pushing master"
+			make clean && make html && scp -r -oStrictHostKeyChecking=no _build/html/* $doc:$dir/$2/
+			cp -r _build/html/_static .
+		elif ssh -oStrictHostKeyChecking=no $doc "[ -d $dir/$2 ]"; then
+			echo "Directory" $2 "already exists"
+			scp -r -oStrictHostKeyChecking=no _static/* $doc:$dir/$2/_static/
+		else
+			echo "Pushing version" $2
+			make clean && make html
+			rm -rf _build/html/_static
+			cp -r _static _build/html
+			scp -r -oStrictHostKeyChecking=no _build/html $doc:$dir/$2
+		fi
+	else
+		echo "Pushing stable"
+		make clean && make html
+		rm -rf _build/html/_static
+		cp -r _static _build/html
+		scp -r -oStrictHostKeyChecking=no _build/html/* $doc:$dir
+	fi
+}
+
+# You can find the commit for each tag on https://github.com/huggingface/transformers/tags
+deploy_doc "master" master
+deploy_doc "b33a385" v1.0.0
+deploy_doc "fe02e45" v1.1.0
+deploy_doc "89fd345" v1.2.0
+deploy_doc "fc9faa8" v2.0.0
+deploy_doc "3ddce1d" v2.1.1
+deploy_doc "3616209" v2.2.0
+deploy_doc "d0f8b9a" v2.3.0
+deploy_doc "6664ea9" v2.4.0
+deploy_doc "fb560dc" v2.5.0
+deploy_doc "b90745c" v2.5.1
+deploy_doc "fbc5bf1" v2.6.0
+deploy_doc "6f5a12a" v2.7.0
+deploy_doc "11c3257" v2.8.0
+deploy_doc "e7cfc1a" v2.9.0
+deploy_doc "7cb203f" v2.9.1
+deploy_doc "10d7239" v2.10.0
+deploy_doc "b42586e" v2.11.0
+deploy_doc "7fb8bdf" v3.0.2
+deploy_doc "4b3ee9c" v3.1.0
+deploy_doc "3ebb1b3" v3.2.0
+deploy_doc "0613f05" v3.3.1
+deploy_doc "eb0e0ce" v3.4.0
+deploy_doc "818878d" v3.5.1
+deploy_doc "c781171" v4.0.1
+deploy_doc "bfa4ccf" v4.1.1
+deploy_doc "7d9a9d0" v4.2.2
+deploy_doc "bae0c79" v4.3.3
+deploy_doc "c988db5" v4.4.0
+deploy_doc "c5d6a28" v4.4.1
+deploy_doc "6bc89ed" v4.4.2
+deploy_doc "4906a29" v4.5.0
+deploy_doc "4bae96e" v4.5.1
+deploy_doc "25dee4a" v4.6.0
+deploy_doc "7a6c9fa" v4.7.0
+deploy_doc "9252a51" v4.8.0
+deploy_doc "1366172" v4.8.1
+deploy_doc "96d1cfb" v4.8.2
+deploy_doc "72aee83" v4.9.0
+deploy_doc "bff1c71" v4.9.1
+deploy_doc "41981a2" v4.9.2
+deploy_doc "39cb6f5" v4.10.0
+deploy_doc "28e2787"  # v4.10.1 Latest stable release

.circleci/parse_test_outputs.py

@@ -1,70 +0,0 @@
-import re
-import argparse
-
-def parse_pytest_output(file_path):
-    skipped_tests = {}
-    skipped_count = 0
-    with open(file_path, 'r') as file:
-        for line in file:
-            match = re.match(r'^SKIPPED \[(\d+)\] (tests/.*): (.*)$', line)
-            if match:
-                skipped_count += 1
-                test_file, test_line, reason = match.groups()
-                skipped_tests[reason] = skipped_tests.get(reason, []) + [(test_file, test_line)]
-    for k,v in sorted(skipped_tests.items(), key=lambda x:len(x[1])):
-        print(f"{len(v):4} skipped because: {k}")
-    print("Number of skipped tests:", skipped_count)
-
-def parse_pytest_failure_output(file_path):
-    failed_tests = {}
-    failed_count = 0
-    with open(file_path, 'r') as file:
-        for line in file:
-            match = re.match(r'^FAILED (tests/.*) - (.*): (.*)$', line)
-            if match:
-                failed_count += 1
-                _, error, reason = match.groups()
-                failed_tests[reason] = failed_tests.get(reason, []) + [error]
-    for k,v in sorted(failed_tests.items(), key=lambda x:len(x[1])):
-        print(f"{len(v):4} failed because `{v[0]}` -> {k}")
-    print("Number of failed tests:", failed_count)
-    if failed_count>0:
-        exit(1)
-
-def parse_pytest_errors_output(file_path):
-    print(file_path)
-    error_tests = {}
-    error_count = 0
-    with open(file_path, 'r') as file:
-        for line in file:
-            match = re.match(r'^ERROR (tests/.*) - (.*): (.*)$', line)
-            if match:
-                error_count += 1
-                _, test_error, reason = match.groups()
-                error_tests[reason] = error_tests.get(reason, []) + [test_error]
-    for k,v in sorted(error_tests.items(), key=lambda x:len(x[1])):
-        print(f"{len(v):4} errored out because of `{v[0]}` -> {k}")
-    print("Number of errors:", error_count)
-    if error_count>0:
-        exit(1)
-
-def main():
-    parser = argparse.ArgumentParser()
-    parser.add_argument("--file", help="file to parse")
-    parser.add_argument("--skip", action="store_true", help="show skipped reasons")
-    parser.add_argument("--fail", action="store_true", help="show failed tests")
-    parser.add_argument("--errors", action="store_true", help="show failed tests")
-    args = parser.parse_args()
-
-    if args.skip:
-        parse_pytest_output(args.file)
-
-    if args.fail:
-        parse_pytest_failure_output(args.file)
-
-    if args.errors:
-        parse_pytest_errors_output(args.file)
-
-
-if __name__ == "__main__":
-    main()

.coveragerc

@@ -0,0 +1,12 @@
+[run]
+source=transformers
+omit =
+    # skip convertion scripts from testing for now
+    */convert_*
+    */__main__.py
+[report]
+exclude_lines =
+    pragma: no cover
+    raise
+    except
+    register_parameter

.gitattributes

@@ -1,13 +1,3 @@
 *.py	eol=lf
 *.rst	eol=lf
-*.md	eol=lf
+*.md	eol=lf
-*.mdx   eol=lf
-*.model filter=lfs diff=lfs merge=lfs -text
-*.png filter=lfs diff=lfs merge=lfs -text
-*.jpg filter=lfs diff=lfs merge=lfs -text
-*.jpeg filter=lfs diff=lfs merge=lfs -text
-*.gif filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text

.github/ISSUE_TEMPLATE/---new-benchmark.md

@@ -0,0 +1,22 @@
+---
+name: "\U0001F5A5 New benchmark"
+about: Benchmark a part of this library and share your results
+title: "[Benchmark]"
+labels: ''
+assignees: ''
+
+---
+
+# 🖥 Benchmarking `transformers`
+
+## Benchmark
+
+Which part of `transformers` did you benchmark?
+
+## Set-up
+
+What did you run your benchmarks on? Please include details, such as: CPU, GPU? If using multiple GPUs, which parallelization did you use?
+
+## Results
+
+Put your results here!

.github/ISSUE_TEMPLATE/--new-model-addition.md

@@ -0,0 +1,20 @@
+---
+name: "\U0001F31F New model addition"
+about: Submit a proposal/request to implement a new Transformer-based model
+title: ''
+labels: New model
+assignees: ''
+
+---
+
+# 🌟 New model addition
+
+## Model description
+
+<!-- Important information -->
+
+## Open source status
+
+* [ ] the model implementation is available: (give details)
+* [ ] the model weights are available: (give details)
+* [ ] who are the authors: (mention them, if possible by @gh-username)

.github/ISSUE_TEMPLATE/bug-report.md

@@ -0,0 +1,94 @@
+---
+name: "\U0001F41B Bug Report"
+about: Submit a bug report to help us improve transformers
+title: ''
+labels: ''
+assignees: ''
+
+---
+
+
+## Environment info
+<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
+     Don't forget to fill out the missing fields in that output! -->
+
+- `transformers` version:
+- Platform:
+- Python version:
+- PyTorch version (GPU?):
+- Tensorflow version (GPU?):
+- Using GPU in script?:
+- Using distributed or parallel set-up in script?:
+
+### Who can help
+<!-- Your issue will be replied to more quickly if you can figure out the right person to tag with @
+ If you know how to use git blame, that is the easiest way, otherwise, here is a rough guide of **who to tag**.
+ Please tag fewer than 3 people.
+
+Models:
+
+- albert, bert, xlm: @LysandreJik
+- blenderbot, bart, marian, pegasus, encoderdecoder,  t5: @patrickvonplaten, @patil-suraj
+- longformer, reformer, transfoxl, xlnet: @patrickvonplaten
+- fsmt: @stas00
+- funnel: @sgugger
+- gpt2: @patrickvonplaten, @LysandreJik
+- rag: @patrickvonplaten, @lhoestq
+- tensorflow: @Rocketknight1
+
+Library:
+
+- benchmarks: @patrickvonplaten
+- deepspeed: @stas00
+- ray/raytune: @richardliaw, @amogkam
+- text generation: @patrickvonplaten
+- tokenizers: @LysandreJik
+- trainer: @sgugger
+- pipelines: @LysandreJik
+
+Documentation: @sgugger
+
+Model hub:
+
+- for issues with a model report at https://discuss.huggingface.co/ and tag the model's creator.
+
+HF projects:
+
+- datasets: [different repo](https://github.com/huggingface/datasets)
+- rust tokenizers: [different repo](https://github.com/huggingface/tokenizers)
+
+Examples:
+
+- maintained examples (not research project or legacy): @sgugger, @patil-suraj
+- research_projects/bert-loses-patience: @JetRunner
+- research_projects/distillation: @VictorSanh
+
+ -->
+
+## Information
+
+Model I am using (Bert, XLNet ...):
+
+The problem arises when using:
+* [ ] the official example scripts: (give details below)
+* [ ] my own modified scripts: (give details below)
+
+The tasks I am working on is:
+* [ ] an official GLUE/SQUaD task: (give the name)
+* [ ] my own task or dataset: (give details below)
+
+## To reproduce
+
+Steps to reproduce the behavior:
+
+1.
+2.
+3.
+
+<!-- If you have code snippets, error messages, stack traces please provide them here as well.
+     Important! Use code tags to correctly format your code. See https://help.github.com/en/github/writing-on-github/creating-and-highlighting-code-blocks#syntax-highlighting
+     Do not use screenshots, as they are hard to read and (more importantly) don't allow others to copy-and-paste your code.-->
+
+## Expected behavior
+
+<!-- A clear and concise description of what you would expect to happen. -->

.github/ISSUE_TEMPLATE/bug-report.yml

@@ -1,134 +0,0 @@
-name: "\U0001F41B Bug Report"
-description: Submit a bug report to help us improve transformers
-labels: [ "bug" ]
-body:
-  - type: markdown
-    attributes:
-      value: |
-        Thanks for taking the time to fill out this bug report! 🤗
-
-        Before you submit your bug report:
-
-          - If it is your first time submitting, be sure to check our [bug report guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#did-you-find-a-bug)
-          - Try our [docs bot](https://huggingface.co/spaces/huggingchat/hf-docs-chat) -- it might be able to help you with your issue
-
-  - type: textarea
-    id: system-info
-    attributes:
-      label: System Info
-      description: Please share your system info with us. You can run the command `transformers env` and copy-paste its output below.
-      placeholder: transformers version, platform, python version, ...
-    validations:
-      required: true
-
-  - type: textarea
-    id: who-can-help
-    attributes:
-      label: Who can help?
-      description: |
-        Your issue will be replied to more quickly if you can figure out the right person to tag with @
-        If you know how to use git blame, that is the easiest way, otherwise, here is a rough guide of **who to tag**.
-
-        All issues are read by one of the core maintainers, so if you don't know who to tag, just leave this blank and
-        a core maintainer will ping the right person.
-
-        Please tag fewer than 3 people.
-
-        Models:
-
-          - text models: @ArthurZucker
-          - vision models: @amyeroberts, @qubvel
-          - speech models: @eustlb
-          - graph models: @clefourrier
-
-        Library:
-
-          - flax: @gante and @Rocketknight1
-          - generate: @zucchini-nlp (visual-language models) or @gante (all others)
-          - pipelines: @Rocketknight1
-          - tensorflow: @gante and @Rocketknight1
-          - tokenizers: @ArthurZucker and @itazap
-          - trainer: @zach-huggingface @SunMarc
-
-        Integrations:
-
-          - deepspeed: HF Trainer/Accelerate: @SunMarc @zach-huggingface
-          - ray/raytune: @richardliaw, @amogkam
-          - Big Model Inference: @SunMarc
-          - quantization (bitsandbytes, autogpt): @SunMarc @MekkCyber
-        
-        Devices/Backends:
-        
-          - AMD ROCm: @ivarflakstad
-          - Intel XPU: @IlyasMoutawwakil
-          - Ascend NPU: @ivarflakstad 
-
-        Documentation: @stevhliu
-
-        Model hub:
-
-          - for issues with a model, report at https://discuss.huggingface.co/ and tag the model's creator.
-
-        HF projects:
-
-          - accelerate: [different repo](https://github.com/huggingface/accelerate)
-          - datasets: [different repo](https://github.com/huggingface/datasets)
-          - diffusers: [different repo](https://github.com/huggingface/diffusers)
-          - rust tokenizers: [different repo](https://github.com/huggingface/tokenizers)
-
-        Maintained examples (not research project or legacy):
-
-          - Flax: @Rocketknight1
-          - PyTorch: See Models above and tag the person corresponding to the modality of the example.
-          - TensorFlow: @Rocketknight1
-
-        Research projects are not maintained and should be taken as is.
-
-      placeholder: "@Username ..."
-
-  - type: checkboxes
-    id: information-scripts-examples
-    attributes:
-      label: Information
-      description: 'The problem arises when using:'
-      options:
-        - label: "The official example scripts"
-        - label: "My own modified scripts"
-
-  - type: checkboxes
-    id: information-tasks
-    attributes:
-      label: Tasks
-      description: "The tasks I am working on are:"
-      options:
-        - label: "An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)"
-        - label: "My own task or dataset (give details below)"
-
-  - type: textarea
-    id: reproduction
-    validations:
-      required: true
-    attributes:
-      label: Reproduction
-      description: |
-        Please provide a code sample that reproduces the problem you ran into. It can be a Colab link or just a code snippet.
-        Please include relevant config information with your code, for example your Trainers, TRL, Peft, and DeepSpeed configs.
-        If you have code snippets, error messages, stack traces please provide them here as well.
-        Important! Use code tags to correctly format your code. See https://help.github.com/en/github/writing-on-github/creating-and-highlighting-code-blocks#syntax-highlighting
-        Do not use screenshots, as they are hard to read and (more importantly) don't allow others to copy-and-paste your code.
-
-      placeholder: |
-        Steps to reproduce the behavior:
-
-          1.
-          2.
-          3.
-
-
-  - type: textarea
-    id: expected-behavior
-    validations:
-      required: true
-    attributes:
-      label: Expected behavior
-      description: "A clear and concise description of what you would expect to happen."

.github/ISSUE_TEMPLATE/config.yml

@@ -1,12 +0,0 @@
-blank_issues_enabled: true
-version: 2.1
-contact_links:
-  - name: Model checkpoints on the Hugging Face Hub
-    url: https://huggingface.co/models
-    about: Open a Pull request / Discussion related to a specific model checkpoint directly on the Hugging Face Hub
-  - name: Website Related
-    url: https://github.com/huggingface/hub-docs/issues
-    about: Feature requests and bug reports related to the website
-  - name: Forum
-    url: https://discuss.huggingface.co/
-    about: General usage questions and community discussions

.github/ISSUE_TEMPLATE/feature-request.md

@@ -0,0 +1,25 @@
+---
+name: "\U0001F680 Feature request"
+about: Submit a proposal/request for a new transformers feature
+title: ''
+labels: ''
+assignees: ''
+
+---
+
+# 🚀 Feature request
+
+<!-- A clear and concise description of the feature proposal.
+     Please provide a link to the paper and code in case they exist. -->
+
+## Motivation
+
+<!-- Please outline the motivation for the proposal. Is your feature request
+     related to a problem? e.g., I'm always frustrated when [...]. If this is related
+     to another GitHub issue, please link here too. -->
+
+## Your contribution
+
+<!-- Is there any way that you could help, e.g. by submitting a PR?
+     Make sure to read the CONTRIBUTING.MD readme:
+     https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md -->

.github/ISSUE_TEMPLATE/feature-request.yml

@@ -1,31 +0,0 @@
-name: "\U0001F680 Feature request"
-description: Submit a proposal/request for a new transformers feature
-labels: [ "Feature request" ]
-body:
-  - type: textarea
-    id: feature-request
-    validations:
-      required: true
-    attributes:
-      label: Feature request
-      description: |
-        A clear and concise description of the feature proposal. Please provide a link to the paper and code in case they exist.
-
-  - type: textarea
-    id: motivation
-    validations:
-      required: true
-    attributes:
-      label: Motivation
-      description: |
-        Please outline the motivation for the proposal. Is your feature request related to a problem? e.g., I'm always frustrated when [...]. If this is related to another GitHub issue, please link here too.
-
-
-  - type: textarea
-    id: contribution
-    validations:
-      required: true
-    attributes:
-      label: Your contribution
-      description: |
-        Is there any way that you could help, e.g. by submitting a PR? Make sure to read the CONTRIBUTING.MD [readme](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md)

.github/ISSUE_TEMPLATE/i18n.md

@@ -1,46 +0,0 @@
----
-name: 🌐 Translating a new language?
-about: Start a new translation effort in your language
-title: '[i18n-<languageCode>] Translating docs to <languageName>'
-labels: WIP
-assignees: ''
-
----
-
-<!--
-Note: Please search to see if an issue already exists for the language you are trying to translate.
--->
-
-Hi!
-
-Let's bring the documentation to all the <languageName>-speaking community 🌐 (currently 0 out of 267 complete)
-
-Who would want to translate? Please follow the 🤗 [TRANSLATING guide](https://github.com/huggingface/transformers/blob/main/docs/TRANSLATING.md). Here is a list of the files ready for translation. Let us know in this issue if you'd like to translate any, and we'll add your name to the list.
-
-Some notes:
-
-* Please translate using an informal tone (imagine you are talking with a friend about transformers 🤗).
-* Please translate in a gender-neutral way.
-* Add your translations to the folder called `<languageCode>` inside the [source folder](https://github.com/huggingface/transformers/tree/main/docs/source).
-* Register your translation in `<languageCode>/_toctree.yml`; please follow the order of the [English version](https://github.com/huggingface/transformers/blob/main/docs/source/en/_toctree.yml).
-* Once you're finished, open a pull request and tag this issue by including #issue-number in the description, where issue-number is the number of this issue. Please ping @stevhliu for review.
-* 🙋 If you'd like others to help you with the translation, you can also post in the 🤗 [forums](https://discuss.huggingface.co/).
-
-## Get Started section
-
-- [ ] [index.md](https://github.com/huggingface/transformers/blob/main/docs/source/en/index.md) https://github.com/huggingface/transformers/pull/20180
-- [ ] [quicktour.md](https://github.com/huggingface/transformers/blob/main/docs/source/en/quicktour.md) (waiting for initial PR to go through)
-- [ ] [installation.md](https://github.com/huggingface/transformers/blob/main/docs/source/en/installation.md).
-
-## Tutorial section
-- [ ] [pipeline_tutorial.md](https://github.com/huggingface/transformers/blob/main/docs/source/en/pipeline_tutorial.md)
-- [ ]  [autoclass_tutorial.md](https://github.com/huggingface/transformers/blob/main/docs/source/en/autoclass_tutorial.md)
-- [ ]  [preprocessing.md](https://github.com/huggingface/transformers/blob/main/docs/source/en/preprocessing.md)
-- [ ]  [training.md](https://github.com/huggingface/transformers/blob/main/docs/source/en/training.md)
-- [ ]  [accelerate.md](https://github.com/huggingface/transformers/blob/main/docs/source/en/accelerate.md)
-- [ ]  [model_sharing.md](https://github.com/huggingface/transformers/blob/main/docs/source/en/model_sharing.md)
-- [ ]  [multilingual.md](https://github.com/huggingface/transformers/blob/main/docs/source/en/multilingual.md)
-
-<!--
-Keep on adding more as you go 🔥
--->

.github/ISSUE_TEMPLATE/migration.md

@@ -0,0 +1,58 @@
+---
+name: "\U0001F4DA Migration from pytorch-pretrained-bert or pytorch-transformers"
+about: Report a problem when migrating from pytorch-pretrained-bert or pytorch-transformers
+  to transformers
+title: ''
+labels: Migration
+assignees: ''
+
+---
+
+# 📚 Migration
+
+## Information
+
+<!-- Important information -->
+
+Model I am using (Bert, XLNet ...):
+
+Language I am using the model on (English, Chinese ...):
+
+The problem arises when using:
+* [ ] the official example scripts: (give details below)
+* [ ] my own modified scripts: (give details below)
+
+The tasks I am working on is:
+* [ ] an official GLUE/SQUaD task: (give the name)
+* [ ] my own task or dataset: (give details below)
+
+## Details
+
+<!-- A clear and concise description of the migration issue.
+    If you have code snippets, please provide it here as well.
+    Important! Use code tags to correctly format your code. See https://help.github.com/en/github/writing-on-github/creating-and-highlighting-code-blocks#syntax-highlighting
+    Do not use screenshots, as they are hard to read and (more importantly) don't allow others to copy-and-paste your code.
+    -->
+
+## Environment info
+<!-- You can run the command `python transformers-cli env` and copy-and-paste its output below.
+     Don't forget to fill out the missing fields in that output! -->
+ 
+- `transformers` version:
+- Platform:
+- Python version:
+- PyTorch version (GPU?):
+- Tensorflow version (GPU?):
+- Using GPU in script?:
+- Using distributed or parallel set-up in script?:
+
+<!-- IMPORTANT: which version of the former library do you use? -->
+* `pytorch-transformers` or `pytorch-pretrained-bert` version (or branch):
+
+
+## Checklist
+
+- [ ] I have read the migration guide in the readme.
+ ([pytorch-transformers](https://github.com/huggingface/transformers#migrating-from-pytorch-transformers-to-transformers);
+  [pytorch-pretrained-bert](https://github.com/huggingface/transformers#migrating-from-pytorch-pretrained-bert-to-transformers))
+- [ ] I checked if a related official extension example runs on my machine.

.github/ISSUE_TEMPLATE/migration.yml

@@ -1,72 +0,0 @@
-name: "\U0001F4DA Migration from pytorch-pretrained-bert or pytorch-transformers"
-description: Report a problem when migrating from pytorch-pretrained-bert or pytorch-transformers to transformers
-labels: [ "migration" ]
-body:
-  - type: textarea
-    id: system-info
-    attributes:
-      label: System Info
-      description: Please share your system info with us. You can run the command `transformers env` and copy-paste its output below.
-      render: shell
-      placeholder: transformers version, platform, python version, ...
-    validations:
-      required: true
-
-  - type: checkboxes
-    id: information-scripts-examples
-    attributes:
-      label: Information
-      description: 'The problem arises when using:'
-      options:
-        - label: "The official example scripts"
-        - label: "My own modified scripts"
-
-  - type: checkboxes
-    id: information-tasks
-    attributes:
-      label: Tasks
-      description: "The tasks I am working on are:"
-      options:
-        - label: "An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)"
-        - label: "My own task or dataset (give details below)"
-
-  - type: textarea
-    id: reproduction
-    validations:
-      required: true
-    attributes:
-      label: Reproduction
-      description: |
-        Please provide a code sample that reproduces the problem you ran into. It can be a Colab link or just a code snippet.
-        If you have code snippets, error messages, stack traces please provide them here as well.
-        Important! Use code tags to correctly format your code. See https://help.github.com/en/github/writing-on-github/creating-and-highlighting-code-blocks#syntax-highlighting
-        Do not use screenshots, as they are hard to read and (more importantly) don't allow others to copy-and-paste your code.
-
-      placeholder: |
-        Steps to reproduce the behavior:
-          
-          1.
-          2.
-          3.
-          
-
-  - type: textarea
-    id: expected-behavior
-    validations:
-      required: true
-    attributes:
-      label: Expected behavior
-      description: "A clear and concise description of what you would expect to happen."
-      render: shell
-
-  - type: checkboxes
-    id: checklist
-    attributes:
-      label: Checklist
-      options:
-        - label: "I have read the migration guide in the readme.
- ([pytorch-transformers](https://github.com/huggingface/transformers#migrating-from-pytorch-transformers-to-transformers);
-  [pytorch-pretrained-bert](https://github.com/huggingface/transformers#migrating-from-pytorch-pretrained-bert-to-transformers))"
-          required: true
-        - label: "I checked if a related official extension example runs on my machine."
-          required: true

.github/ISSUE_TEMPLATE/new-model-addition.yml

@@ -1,31 +0,0 @@
-name: "\U0001F31F New model addition"
-description: Submit a proposal/request to implement a new model
-labels: [ "New model" ]
-
-body:
-  - type: textarea
-    id: description-request
-    validations:
-      required: true
-    attributes:
-      label: Model description
-      description: |
-        Put any and all important information relative to the model
-
-  - type: checkboxes
-    id: information-tasks
-    attributes:
-      label: Open source status
-      description: |
-          Please note that if the model implementation isn't available or if the weights aren't open-source, we are less likely to implement it in `transformers`.
-      options:
-        - label: "The model implementation is available"
-        - label: "The model weights are available"
-
-  - type: textarea
-    id: additional-info
-    attributes:
-      label: Provide useful links for the implementation
-      description: |
-        Please provide information regarding the implementation, the weights, and the authors.
-        Please mention the authors by @gh-username if you're aware of their usernames.

.github/ISSUE_TEMPLATE/question-help.md

@@ -0,0 +1,26 @@
+---
+name: "❓ Questions & Help"
+about: Post your general questions on the Hugging Face forum: https://discuss.huggingface.co/
+title: ''
+labels: ''
+assignees: ''
+
+---
+
+# ❓ Questions & Help
+
+<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
+     new models, benchmarks, and migration questions. For all other questions,
+     we direct you to the Hugging Face forum: https://discuss.huggingface.co/ .
+     -->
+
+## Details
+
+<!-- Description of your issue -->
+
+<!-- You should first ask your question on the forum, and only if
+     you didn't get an answer after a few days ask it here on GitHub. -->
+
+**A link to original question on the forum**:
+
+<!-- Your issue will be closed if you don't fill this part. -->

.github/PULL_REQUEST_TEMPLATE.md

@@ -17,13 +17,13 @@ Fixes # (issue)
 
 ## Before submitting
 - [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
-- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#create-a-pull-request),
+- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md#start-contributing-pull-requests),
       Pull Request section?
 - [ ] Was this discussed/approved via a Github issue or the [forum](https://discuss.huggingface.co/)? Please add a link
       to it if that's the case.
 - [ ] Did you make sure to update the documentation with your changes? Here are the
-      [documentation guidelines](https://github.com/huggingface/transformers/tree/main/docs), and
+      [documentation guidelines](https://github.com/huggingface/transformers/tree/master/docs), and
-      [here are tips on formatting docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation).
+      [here are tips on formatting docstrings](https://github.com/huggingface/transformers/tree/master/docs#writing-source-documentation).
 - [ ] Did you write any new necessary tests?
 
 
@@ -39,41 +39,36 @@ members/contributors who may be interested in your PR.
 
 Models:
 
-- text models: @ArthurZucker
+- albert, bert, xlm: @LysandreJik
-- vision models: @amyeroberts, @qubvel
+- blenderbot, bart, marian, pegasus, encoderdecoder,  t5: @patrickvonplaten, @patil-suraj
-- speech models: @eustlb
+- longformer, reformer, transfoxl, xlnet: @patrickvonplaten
-- graph models: @clefourrier
+- fsmt: @stas00
+- funnel: @sgugger
+- gpt2: @patrickvonplaten, @LysandreJik
+- rag: @patrickvonplaten, @lhoestq
+- tensorflow: @LysandreJik
 
 Library:
 
-- flax: @gante and @Rocketknight1
+- benchmarks: @patrickvonplaten
-- generate: @zucchini-nlp (visual-language models) or @gante (all others)
+- deepspeed: @stas00
-- pipelines: @Rocketknight1
-- tensorflow: @gante and @Rocketknight1
-- tokenizers: @ArthurZucker
-- trainer: @zach-huggingface, @SunMarc and @qgallouedec
-- chat templates: @Rocketknight1
-
-Integrations:
-
-- deepspeed: HF Trainer/Accelerate: @SunMarc @zach-huggingface
 - ray/raytune: @richardliaw, @amogkam
-- Big Model Inference: @SunMarc
+- text generation: @patrickvonplaten
-- quantization (bitsandbytes, autogpt): @SunMarc @MekkCyber
+- tokenizers: @n1t0, @LysandreJik
+- trainer: @sgugger
+- pipelines: @LysandreJik
 
-Documentation: @stevhliu
+Documentation: @sgugger
 
 HF projects:
 
-- accelerate: [different repo](https://github.com/huggingface/accelerate)
 - datasets: [different repo](https://github.com/huggingface/datasets)
-- diffusers: [different repo](https://github.com/huggingface/diffusers)
 - rust tokenizers: [different repo](https://github.com/huggingface/tokenizers)
 
-Maintained examples (not research project or legacy):
+Examples:
 
-- Flax: @Rocketknight1
+- maintained examples (not research project or legacy): @sgugger, @patil-suraj
-- PyTorch: See Models above and tag the person corresponding to the modality of the example.
+- research_projects/bert-loses-patience: @JetRunner
-- TensorFlow: @Rocketknight1
+- research_projects/distillation: @VictorSanh
 
  -->

.github/conda/meta.yaml

@@ -16,6 +16,7 @@ requirements:
     - pip
     - numpy >=1.17
     - dataclasses
+    - importlib_metadata
     - huggingface_hub
     - packaging
     - filelock
@@ -24,14 +25,13 @@ requirements:
     - sacremoses
     - regex !=2019.12.17
     - protobuf
-    - tokenizers >=0.11.1,!=0.11.3,<0.13
+    - tokenizers >=0.10.1,<0.11.0
     - pyyaml >=5.1
-    - safetensors
-    - fsspec
   run:
     - python
     - numpy >=1.17
     - dataclasses
+    - importlib_metadata
     - huggingface_hub
     - packaging
     - filelock
@@ -40,10 +40,8 @@ requirements:
     - sacremoses
     - regex !=2019.12.17
     - protobuf
-    - tokenizers >=0.11.1,!=0.11.3,<0.13
+    - tokenizers >=0.10.1,<0.11.0
     - pyyaml >=5.1
-    - safetensors
-    - fsspec
 
 test:
   imports:

.github/scripts/assign_reviewers.py

@@ -1,120 +0,0 @@
-# coding=utf-8
-# Copyright 2025 the HuggingFace Inc. team. All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import os
-import github
-import json
-from github import Github
-import re
-from collections import Counter
-from pathlib import Path
-
-def pattern_to_regex(pattern):
-    if pattern.startswith("/"):
-        start_anchor = True
-        pattern = re.escape(pattern[1:])
-    else:
-        start_anchor = False
-        pattern = re.escape(pattern)
-    # Replace `*` with "any number of non-slash characters"
-    pattern = pattern.replace(r"\*", "[^/]*")
-    if start_anchor:
-        pattern = r"^\/?" + pattern  # Allow an optional leading slash after the start of the string
-    return pattern
-
-def get_file_owners(file_path, codeowners_lines):
-    # Process lines in reverse (last matching pattern takes precedence)
-    for line in reversed(codeowners_lines):
-        # Skip comments and empty lines, strip inline comments
-        line = line.split('#')[0].strip()
-        if not line:
-            continue
-
-        # Split into pattern and owners
-        parts = line.split()
-        pattern = parts[0]
-        # Can be empty, e.g. for dummy files with explicitly no owner!
-        owners = [owner.removeprefix("@") for owner in parts[1:]]
-
-        # Check if file matches pattern
-        file_regex = pattern_to_regex(pattern)
-        if re.search(file_regex, file_path) is not None:
-            return owners  # Remember, can still be empty!
-    return []  # Should never happen, but just in case
-
-def pr_author_is_in_hf(pr_author, codeowners_lines):
-    # Check if the PR author is in the codeowners file
-    for line in codeowners_lines:
-        line = line.split('#')[0].strip()
-        if not line:
-            continue
-
-        # Split into pattern and owners
-        parts = line.split()
-        owners = [owner.removeprefix("@") for owner in parts[1:]]
-
-        if pr_author in owners:
-            return True
-    return False
-
-def main():
-    script_dir = Path(__file__).parent.absolute()
-    with open(script_dir / "codeowners_for_review_action") as f:
-        codeowners_lines = f.readlines()
-
-    g = Github(os.environ['GITHUB_TOKEN'])
-    repo = g.get_repo("huggingface/transformers")
-    with open(os.environ['GITHUB_EVENT_PATH']) as f:
-        event = json.load(f)
-
-    # The PR number is available in the event payload
-    pr_number = event['pull_request']['number']
-    pr = repo.get_pull(pr_number)
-    pr_author = pr.user.login
-    if pr_author_is_in_hf(pr_author, codeowners_lines):
-        print(f"PR author {pr_author} is in codeowners, skipping review request.")
-        return
-
-    existing_reviews = list(pr.get_reviews())
-    if existing_reviews:
-        print(f"Already has reviews: {[r.user.login for r in existing_reviews]}")
-        return
-
-    users_requested, teams_requested = pr.get_review_requests()
-    users_requested = list(users_requested)
-    if users_requested:
-        print(f"Reviewers already requested: {users_requested}")
-        return
-
-    locs_per_owner = Counter()
-    for file in pr.get_files():
-        owners = get_file_owners(file.filename, codeowners_lines)
-        for owner in owners:
-            locs_per_owner[owner] += file.changes
-
-    # Assign the top 2 based on locs changed as reviewers, but skip the owner if present
-    locs_per_owner.pop(pr_author, None)
-    top_owners = locs_per_owner.most_common(2)
-    print("Top owners", top_owners)
-    top_owners = [owner[0] for owner in top_owners]
-    try:
-        pr.create_review_request(top_owners)
-    except github.GithubException as e:
-        print(f"Failed to request review for {top_owners}: {e}")
-
-
-
-if __name__ == "__main__":
-    main()

.github/scripts/codeowners_for_review_action

@@ -1,370 +0,0 @@
-# Top-level rules are matched only if nothing else matches
-* @Rocketknight1 @ArthurZucker # if no one is pinged based on the other rules, he will do the dispatch
-*.md @stevhliu
-*tokenization* @ArthurZucker
-docs/ @stevhliu
-/benchmark/ @McPatate
-/docker/ @ydshieh @ArthurZucker
-
-# More high-level globs catch cases when specific rules later don't apply
-/src/transformers/models/*/processing* @molbap @yonigozlan @qubvel
-/src/transformers/models/*/image_processing* @qubvel
-/src/transformers/models/*/image_processing_*_fast* @yonigozlan
-
-# Owners of subsections of the library
-/src/transformers/generation/ @gante
-/src/transformers/pipeline/ @Rocketknight1 @yonigozlan
-/src/transformers/integrations/ @SunMarc @MekkCyber @zach-huggingface
-/src/transformers/quantizers/ @SunMarc @MekkCyber
-tests/ @ydshieh
-tests/generation/ @gante
-
-/src/transformers/models/auto/ @ArthurZucker
-/src/transformers/utils/ @ArthurZucker @Rocketknight1
-/src/transformers/loss/ @ArthurZucker
-/src/transformers/onnx/ @michaelbenayoun
-
-# Specific files come after the sections/globs, so they take priority
-/.circleci/config.yml @ArthurZucker @ydshieh
-/utils/tests_fetcher.py @ydshieh
-trainer.py @zach-huggingface @SunMarc
-trainer_utils.py @zach-huggingface @SunMarc
-/utils/modular_model_converter.py @Cyrilvallez @ArthurZucker
-
-# Owners of individual models are specific / high priority, and so they come last
-# mod* captures modeling and modular files
-
-# Text models
-/src/transformers/models/albert/mod*_albert* @ArthurZucker
-/src/transformers/models/bamba/mod*_bamba* @ArthurZucker
-/src/transformers/models/bart/mod*_bart* @ArthurZucker
-/src/transformers/models/barthez/mod*_barthez* @ArthurZucker
-/src/transformers/models/bartpho/mod*_bartpho* @ArthurZucker
-/src/transformers/models/bert/mod*_bert* @ArthurZucker
-/src/transformers/models/bert_generation/mod*_bert_generation* @ArthurZucker
-/src/transformers/models/bert_japanese/mod*_bert_japanese* @ArthurZucker
-/src/transformers/models/bertweet/mod*_bertweet* @ArthurZucker
-/src/transformers/models/big_bird/mod*_big_bird* @ArthurZucker
-/src/transformers/models/bigbird_pegasus/mod*_bigbird_pegasus* @ArthurZucker
-/src/transformers/models/biogpt/mod*_biogpt* @ArthurZucker
-/src/transformers/models/blenderbot/mod*_blenderbot* @ArthurZucker
-/src/transformers/models/blenderbot_small/mod*_blenderbot_small* @ArthurZucker
-/src/transformers/models/bloom/mod*_bloom* @ArthurZucker
-/src/transformers/models/bort/mod*_bort* @ArthurZucker
-/src/transformers/models/byt5/mod*_byt5* @ArthurZucker
-/src/transformers/models/camembert/mod*_camembert* @ArthurZucker
-/src/transformers/models/canine/mod*_canine* @ArthurZucker
-/src/transformers/models/codegen/mod*_codegen* @ArthurZucker
-/src/transformers/models/code_llama/mod*_code_llama* @ArthurZucker
-/src/transformers/models/cohere/mod*_cohere* @ArthurZucker
-/src/transformers/models/cohere2/mod*_cohere2* @ArthurZucker
-/src/transformers/models/convbert/mod*_convbert* @ArthurZucker
-/src/transformers/models/cpm/mod*_cpm* @ArthurZucker
-/src/transformers/models/cpmant/mod*_cpmant* @ArthurZucker
-/src/transformers/models/ctrl/mod*_ctrl* @ArthurZucker
-/src/transformers/models/dbrx/mod*_dbrx* @ArthurZucker
-/src/transformers/models/deberta/mod*_deberta* @ArthurZucker
-/src/transformers/models/deberta_v2/mod*_deberta_v2* @ArthurZucker
-/src/transformers/models/dialogpt/mod*_dialogpt* @ArthurZucker
-/src/transformers/models/diffllama/mod*_diffllama* @ArthurZucker
-/src/transformers/models/distilbert/mod*_distilbert* @ArthurZucker
-/src/transformers/models/dpr/mod*_dpr* @ArthurZucker
-/src/transformers/models/electra/mod*_electra* @ArthurZucker
-/src/transformers/models/encoder_decoder/mod*_encoder_decoder* @ArthurZucker
-/src/transformers/models/ernie/mod*_ernie* @ArthurZucker
-/src/transformers/models/ernie_m/mod*_ernie_m* @ArthurZucker
-/src/transformers/models/esm/mod*_esm* @ArthurZucker
-/src/transformers/models/falcon/mod*_falcon* @ArthurZucker
-/src/transformers/models/falcon3/mod*_falcon3* @ArthurZucker
-/src/transformers/models/falcon_mamba/mod*_falcon_mamba* @ArthurZucker
-/src/transformers/models/fastspeech2_conformer/mod*_fastspeech2_conformer* @ArthurZucker
-/src/transformers/models/flan_t5/mod*_flan_t5* @ArthurZucker
-/src/transformers/models/flan_ul2/mod*_flan_ul2* @ArthurZucker
-/src/transformers/models/flaubert/mod*_flaubert* @ArthurZucker
-/src/transformers/models/fnet/mod*_fnet* @ArthurZucker
-/src/transformers/models/fsmt/mod*_fsmt* @ArthurZucker
-/src/transformers/models/funnel/mod*_funnel* @ArthurZucker
-/src/transformers/models/fuyu/mod*_fuyu* @ArthurZucker
-/src/transformers/models/gemma/mod*_gemma* @ArthurZucker
-/src/transformers/models/gemma2/mod*_gemma2* @ArthurZucker
-/src/transformers/models/glm/mod*_glm* @ArthurZucker
-/src/transformers/models/openai_gpt/mod*_openai_gpt* @ArthurZucker
-/src/transformers/models/gpt_neo/mod*_gpt_neo* @ArthurZucker
-/src/transformers/models/gpt_neox/mod*_gpt_neox* @ArthurZucker
-/src/transformers/models/gpt_neox_japanese/mod*_gpt_neox_japanese* @ArthurZucker
-/src/transformers/models/gptj/mod*_gptj* @ArthurZucker
-/src/transformers/models/gpt2/mod*_gpt2* @ArthurZucker
-/src/transformers/models/gpt_bigcode/mod*_gpt_bigcode* @ArthurZucker
-/src/transformers/models/gptsan_japanese/mod*_gptsan_japanese* @ArthurZucker
-/src/transformers/models/gpt_sw3/mod*_gpt_sw3* @ArthurZucker
-/src/transformers/models/granite/mod*_granite* @ArthurZucker
-/src/transformers/models/granitemoe/mod*_granitemoe* @ArthurZucker
-/src/transformers/models/herbert/mod*_herbert* @ArthurZucker
-/src/transformers/models/ibert/mod*_ibert* @ArthurZucker
-/src/transformers/models/jamba/mod*_jamba* @ArthurZucker
-/src/transformers/models/jetmoe/mod*_jetmoe* @ArthurZucker
-/src/transformers/models/jukebox/mod*_jukebox* @ArthurZucker
-/src/transformers/models/led/mod*_led* @ArthurZucker
-/src/transformers/models/llama/mod*_llama* @ArthurZucker @Cyrilvallez
-/src/transformers/models/longformer/mod*_longformer* @ArthurZucker
-/src/transformers/models/longt5/mod*_longt5* @ArthurZucker
-/src/transformers/models/luke/mod*_luke* @ArthurZucker
-/src/transformers/models/m2m_100/mod*_m2m_100* @ArthurZucker
-/src/transformers/models/madlad_400/mod*_madlad_400* @ArthurZucker
-/src/transformers/models/mamba/mod*_mamba* @ArthurZucker
-/src/transformers/models/mamba2/mod*_mamba2* @ArthurZucker
-/src/transformers/models/marian/mod*_marian* @ArthurZucker
-/src/transformers/models/markuplm/mod*_markuplm* @ArthurZucker
-/src/transformers/models/mbart/mod*_mbart* @ArthurZucker
-/src/transformers/models/mega/mod*_mega* @ArthurZucker
-/src/transformers/models/megatron_bert/mod*_megatron_bert* @ArthurZucker
-/src/transformers/models/megatron_gpt2/mod*_megatron_gpt2* @ArthurZucker
-/src/transformers/models/mistral/mod*_mistral* @ArthurZucker
-/src/transformers/models/mixtral/mod*_mixtral* @ArthurZucker
-/src/transformers/models/mluke/mod*_mluke* @ArthurZucker
-/src/transformers/models/mobilebert/mod*_mobilebert* @ArthurZucker
-/src/transformers/models/modernbert/mod*_modernbert* @ArthurZucker
-/src/transformers/models/mpnet/mod*_mpnet* @ArthurZucker
-/src/transformers/models/mpt/mod*_mpt* @ArthurZucker
-/src/transformers/models/mra/mod*_mra* @ArthurZucker
-/src/transformers/models/mt5/mod*_mt5* @ArthurZucker
-/src/transformers/models/mvp/mod*_mvp* @ArthurZucker
-/src/transformers/models/myt5/mod*_myt5* @ArthurZucker
-/src/transformers/models/nemotron/mod*_nemotron* @ArthurZucker
-/src/transformers/models/nezha/mod*_nezha* @ArthurZucker
-/src/transformers/models/nllb/mod*_nllb* @ArthurZucker
-/src/transformers/models/nllb_moe/mod*_nllb_moe* @ArthurZucker
-/src/transformers/models/nystromformer/mod*_nystromformer* @ArthurZucker
-/src/transformers/models/olmo/mod*_olmo* @ArthurZucker
-/src/transformers/models/olmo2/mod*_olmo2* @ArthurZucker
-/src/transformers/models/olmoe/mod*_olmoe* @ArthurZucker
-/src/transformers/models/open_llama/mod*_open_llama* @ArthurZucker
-/src/transformers/models/opt/mod*_opt* @ArthurZucker
-/src/transformers/models/pegasus/mod*_pegasus* @ArthurZucker
-/src/transformers/models/pegasus_x/mod*_pegasus_x* @ArthurZucker
-/src/transformers/models/persimmon/mod*_persimmon* @ArthurZucker
-/src/transformers/models/phi/mod*_phi* @ArthurZucker
-/src/transformers/models/phi3/mod*_phi3* @ArthurZucker
-/src/transformers/models/phimoe/mod*_phimoe* @ArthurZucker
-/src/transformers/models/phobert/mod*_phobert* @ArthurZucker
-/src/transformers/models/plbart/mod*_plbart* @ArthurZucker
-/src/transformers/models/prophetnet/mod*_prophetnet* @ArthurZucker
-/src/transformers/models/qdqbert/mod*_qdqbert* @ArthurZucker
-/src/transformers/models/qwen2/mod*_qwen2* @ArthurZucker
-/src/transformers/models/qwen2_moe/mod*_qwen2_moe* @ArthurZucker
-/src/transformers/models/rag/mod*_rag* @ArthurZucker
-/src/transformers/models/realm/mod*_realm* @ArthurZucker
-/src/transformers/models/recurrent_gemma/mod*_recurrent_gemma* @ArthurZucker
-/src/transformers/models/reformer/mod*_reformer* @ArthurZucker
-/src/transformers/models/rembert/mod*_rembert* @ArthurZucker
-/src/transformers/models/retribert/mod*_retribert* @ArthurZucker
-/src/transformers/models/roberta/mod*_roberta* @ArthurZucker
-/src/transformers/models/roberta_prelayernorm/mod*_roberta_prelayernorm* @ArthurZucker
-/src/transformers/models/roc_bert/mod*_roc_bert* @ArthurZucker
-/src/transformers/models/roformer/mod*_roformer* @ArthurZucker
-/src/transformers/models/rwkv/mod*_rwkv* @ArthurZucker
-/src/transformers/models/splinter/mod*_splinter* @ArthurZucker
-/src/transformers/models/squeezebert/mod*_squeezebert* @ArthurZucker
-/src/transformers/models/stablelm/mod*_stablelm* @ArthurZucker
-/src/transformers/models/starcoder2/mod*_starcoder2* @ArthurZucker
-/src/transformers/models/switch_transformers/mod*_switch_transformers* @ArthurZucker
-/src/transformers/models/t5/mod*_t5* @ArthurZucker
-/src/transformers/models/t5v1.1/mod*_t5v1.1* @ArthurZucker
-/src/transformers/models/tapex/mod*_tapex* @ArthurZucker
-/src/transformers/models/transfo_xl/mod*_transfo_xl* @ArthurZucker
-/src/transformers/models/ul2/mod*_ul2* @ArthurZucker
-/src/transformers/models/umt5/mod*_umt5* @ArthurZucker
-/src/transformers/models/xmod/mod*_xmod* @ArthurZucker
-/src/transformers/models/xglm/mod*_xglm* @ArthurZucker
-/src/transformers/models/xlm/mod*_xlm* @ArthurZucker
-/src/transformers/models/xlm_prophetnet/mod*_xlm_prophetnet* @ArthurZucker
-/src/transformers/models/xlm_roberta/mod*_xlm_roberta* @ArthurZucker
-/src/transformers/models/xlm_roberta_xl/mod*_xlm_roberta_xl* @ArthurZucker
-/src/transformers/models/xlm_v/mod*_xlm_v* @ArthurZucker
-/src/transformers/models/xlnet/mod*_xlnet* @ArthurZucker
-/src/transformers/models/yoso/mod*_yoso* @ArthurZucker
-/src/transformers/models/zamba/mod*_zamba* @ArthurZucker
-
-# Vision models
-/src/transformers/models/beit/mod*_beit* @amyeroberts @qubvel
-/src/transformers/models/bit/mod*_bit* @amyeroberts @qubvel
-/src/transformers/models/conditional_detr/mod*_conditional_detr* @amyeroberts @qubvel
-/src/transformers/models/convnext/mod*_convnext* @amyeroberts @qubvel
-/src/transformers/models/convnextv2/mod*_convnextv2* @amyeroberts @qubvel
-/src/transformers/models/cvt/mod*_cvt* @amyeroberts @qubvel
-/src/transformers/models/deformable_detr/mod*_deformable_detr* @amyeroberts @qubvel
-/src/transformers/models/deit/mod*_deit* @amyeroberts @qubvel
-/src/transformers/models/depth_anything/mod*_depth_anything* @amyeroberts @qubvel
-/src/transformers/models/depth_anything_v2/mod*_depth_anything_v2* @amyeroberts @qubvel
-/src/transformers/models/deta/mod*_deta* @amyeroberts @qubvel
-/src/transformers/models/detr/mod*_detr* @amyeroberts @qubvel
-/src/transformers/models/dinat/mod*_dinat* @amyeroberts @qubvel
-/src/transformers/models/dinov2/mod*_dinov2* @amyeroberts @qubvel
-/src/transformers/models/dinov2_with_registers/mod*_dinov2_with_registers* @amyeroberts @qubvel
-/src/transformers/models/dit/mod*_dit* @amyeroberts @qubvel
-/src/transformers/models/dpt/mod*_dpt* @amyeroberts @qubvel
-/src/transformers/models/efficientformer/mod*_efficientformer* @amyeroberts @qubvel
-/src/transformers/models/efficientnet/mod*_efficientnet* @amyeroberts @qubvel
-/src/transformers/models/focalnet/mod*_focalnet* @amyeroberts @qubvel
-/src/transformers/models/glpn/mod*_glpn* @amyeroberts @qubvel
-/src/transformers/models/hiera/mod*_hiera* @amyeroberts @qubvel
-/src/transformers/models/ijepa/mod*_ijepa* @amyeroberts @qubvel
-/src/transformers/models/imagegpt/mod*_imagegpt* @amyeroberts @qubvel
-/src/transformers/models/levit/mod*_levit* @amyeroberts @qubvel
-/src/transformers/models/mask2former/mod*_mask2former* @amyeroberts @qubvel
-/src/transformers/models/maskformer/mod*_maskformer* @amyeroberts @qubvel
-/src/transformers/models/mobilenet_v1/mod*_mobilenet_v1* @amyeroberts @qubvel
-/src/transformers/models/mobilenet_v2/mod*_mobilenet_v2* @amyeroberts @qubvel
-/src/transformers/models/mobilevit/mod*_mobilevit* @amyeroberts @qubvel
-/src/transformers/models/mobilevitv2/mod*_mobilevitv2* @amyeroberts @qubvel
-/src/transformers/models/nat/mod*_nat* @amyeroberts @qubvel
-/src/transformers/models/poolformer/mod*_poolformer* @amyeroberts @qubvel
-/src/transformers/models/pvt/mod*_pvt* @amyeroberts @qubvel
-/src/transformers/models/pvt_v2/mod*_pvt_v2* @amyeroberts @qubvel
-/src/transformers/models/regnet/mod*_regnet* @amyeroberts @qubvel
-/src/transformers/models/resnet/mod*_resnet* @amyeroberts @qubvel
-/src/transformers/models/rt_detr/mod*_rt_detr* @amyeroberts @qubvel
-/src/transformers/models/segformer/mod*_segformer* @amyeroberts @qubvel
-/src/transformers/models/seggpt/mod*_seggpt* @amyeroberts @qubvel
-/src/transformers/models/superpoint/mod*_superpoint* @amyeroberts @qubvel
-/src/transformers/models/swiftformer/mod*_swiftformer* @amyeroberts @qubvel
-/src/transformers/models/swin/mod*_swin* @amyeroberts @qubvel
-/src/transformers/models/swinv2/mod*_swinv2* @amyeroberts @qubvel
-/src/transformers/models/swin2sr/mod*_swin2sr* @amyeroberts @qubvel
-/src/transformers/models/table_transformer/mod*_table_transformer* @amyeroberts @qubvel
-/src/transformers/models/textnet/mod*_textnet* @amyeroberts @qubvel
-/src/transformers/models/timm_wrapper/mod*_timm_wrapper* @amyeroberts @qubvel
-/src/transformers/models/upernet/mod*_upernet* @amyeroberts @qubvel
-/src/transformers/models/van/mod*_van* @amyeroberts @qubvel
-/src/transformers/models/vit/mod*_vit* @amyeroberts @qubvel
-/src/transformers/models/vit_hybrid/mod*_vit_hybrid* @amyeroberts @qubvel
-/src/transformers/models/vitdet/mod*_vitdet* @amyeroberts @qubvel
-/src/transformers/models/vit_mae/mod*_vit_mae* @amyeroberts @qubvel
-/src/transformers/models/vitmatte/mod*_vitmatte* @amyeroberts @qubvel
-/src/transformers/models/vit_msn/mod*_vit_msn* @amyeroberts @qubvel
-/src/transformers/models/vitpose/mod*_vitpose* @amyeroberts @qubvel
-/src/transformers/models/yolos/mod*_yolos* @amyeroberts @qubvel
-/src/transformers/models/zoedepth/mod*_zoedepth* @amyeroberts @qubvel
-
-# Audio models
-/src/transformers/models/audio_spectrogram_transformer/mod*_audio_spectrogram_transformer* @eustlb
-/src/transformers/models/bark/mod*_bark* @eustlb
-/src/transformers/models/clap/mod*_clap* @eustlb
-/src/transformers/models/dac/mod*_dac* @eustlb
-/src/transformers/models/encodec/mod*_encodec* @eustlb
-/src/transformers/models/hubert/mod*_hubert* @eustlb
-/src/transformers/models/mctct/mod*_mctct* @eustlb
-/src/transformers/models/mimi/mod*_mimi* @eustlb
-/src/transformers/models/mms/mod*_mms* @eustlb
-/src/transformers/models/moshi/mod*_moshi* @eustlb
-/src/transformers/models/musicgen/mod*_musicgen* @eustlb
-/src/transformers/models/musicgen_melody/mod*_musicgen_melody* @eustlb
-/src/transformers/models/pop2piano/mod*_pop2piano* @eustlb
-/src/transformers/models/seamless_m4t/mod*_seamless_m4t* @eustlb
-/src/transformers/models/seamless_m4t_v2/mod*_seamless_m4t_v2* @eustlb
-/src/transformers/models/sew/mod*_sew* @eustlb
-/src/transformers/models/sew_d/mod*_sew_d* @eustlb
-/src/transformers/models/speech_to_text/mod*_speech_to_text* @eustlb
-/src/transformers/models/speech_to_text_2/mod*_speech_to_text_2* @eustlb
-/src/transformers/models/speecht5/mod*_speecht5* @eustlb
-/src/transformers/models/unispeech/mod*_unispeech* @eustlb
-/src/transformers/models/unispeech_sat/mod*_unispeech_sat* @eustlb
-/src/transformers/models/univnet/mod*_univnet* @eustlb
-/src/transformers/models/vits/mod*_vits* @eustlb
-/src/transformers/models/wav2vec2/mod*_wav2vec2* @eustlb
-/src/transformers/models/wav2vec2_bert/mod*_wav2vec2_bert* @eustlb
-/src/transformers/models/wav2vec2_conformer/mod*_wav2vec2_conformer* @eustlb
-/src/transformers/models/wav2vec2_phoneme/mod*_wav2vec2_phoneme* @eustlb
-/src/transformers/models/wavlm/mod*_wavlm* @eustlb
-/src/transformers/models/whisper/mod*_whisper* @eustlb
-/src/transformers/models/xls_r/mod*_xls_r* @eustlb
-/src/transformers/models/xlsr_wav2vec2/mod*_xlsr_wav2vec2* @eustlb
-
-# Video models
-/src/transformers/models/timesformer/mod*_timesformer* @Rocketknight1
-/src/transformers/models/videomae/mod*_videomae* @Rocketknight1
-/src/transformers/models/vivit/mod*_vivit* @Rocketknight1
-
-# Multimodal models
-/src/transformers/models/align/mod*_align* @zucchini-nlp
-/src/transformers/models/altclip/mod*_altclip* @zucchini-nlp
-/src/transformers/models/aria/mod*_aria* @zucchini-nlp
-/src/transformers/models/blip/mod*_blip* @zucchini-nlp
-/src/transformers/models/blip_2/mod*_blip_2* @zucchini-nlp
-/src/transformers/models/bridgetower/mod*_bridgetower* @zucchini-nlp
-/src/transformers/models/bros/mod*_bros* @zucchini-nlp
-/src/transformers/models/chameleon/mod*_chameleon* @zucchini-nlp
-/src/transformers/models/chinese_clip/mod*_chinese_clip* @zucchini-nlp
-/src/transformers/models/clip/mod*_clip* @zucchini-nlp
-/src/transformers/models/clipseg/mod*_clipseg* @zucchini-nlp
-/src/transformers/models/clvp/mod*_clvp* @zucchini-nlp
-/src/transformers/models/colpali/mod*_colpali* @zucchini-nlp @yonigozlan
-/src/transformers/models/data2vec/mod*_data2vec* @zucchini-nlp
-/src/transformers/models/deplot/mod*_deplot* @zucchini-nlp
-/src/transformers/models/donut/mod*_donut* @zucchini-nlp
-/src/transformers/models/flava/mod*_flava* @zucchini-nlp
-/src/transformers/models/git/mod*_git* @zucchini-nlp
-/src/transformers/models/grounding_dino/mod*_grounding_dino* @qubvel
-/src/transformers/models/groupvit/mod*_groupvit* @zucchini-nlp
-/src/transformers/models/idefics/mod*_idefics* @zucchini-nlp
-/src/transformers/models/idefics2/mod*_idefics2* @zucchini-nlp
-/src/transformers/models/idefics3/mod*_idefics3* @zucchini-nlp
-/src/transformers/models/instructblip/mod*_instructblip* @zucchini-nlp
-/src/transformers/models/instructblipvideo/mod*_instructblipvideo* @zucchini-nlp
-/src/transformers/models/kosmos_2/mod*_kosmos_2* @zucchini-nlp
-/src/transformers/models/layoutlm/mod*_layoutlm* @NielsRogge
-/src/transformers/models/layoutlmv2/mod*_layoutlmv2* @NielsRogge
-/src/transformers/models/layoutlmv3/mod*_layoutlmv3* @NielsRogge
-/src/transformers/models/layoutxlm/mod*_layoutxlm* @NielsRogge
-/src/transformers/models/lilt/mod*_lilt* @zucchini-nlp
-/src/transformers/models/llava/mod*_llava* @zucchini-nlp @arthurzucker
-/src/transformers/models/llava_next/mod*_llava_next* @zucchini-nlp
-/src/transformers/models/llava_next_video/mod*_llava_next_video* @zucchini-nlp
-/src/transformers/models/llava_onevision/mod*_llava_onevision* @zucchini-nlp
-/src/transformers/models/lxmert/mod*_lxmert* @zucchini-nlp
-/src/transformers/models/matcha/mod*_matcha* @zucchini-nlp
-/src/transformers/models/mgp_str/mod*_mgp_str* @zucchini-nlp
-/src/transformers/models/mllama/mod*_mllama* @zucchini-nlp
-/src/transformers/models/nougat/mod*_nougat* @NielsRogge
-/src/transformers/models/omdet_turbo/mod*_omdet_turbo* @qubvel @yonigozlan
-/src/transformers/models/oneformer/mod*_oneformer* @zucchini-nlp
-/src/transformers/models/owlvit/mod*_owlvit* @qubvel
-/src/transformers/models/owlv2/mod*_owlv2* @qubvel
-/src/transformers/models/paligemma/mod*_paligemma* @zucchini-nlp @molbap
-/src/transformers/models/perceiver/mod*_perceiver* @zucchini-nlp
-/src/transformers/models/pix2struct/mod*_pix2struct* @zucchini-nlp
-/src/transformers/models/pixtral/mod*_pixtral* @zucchini-nlp @ArthurZucker
-/src/transformers/models/qwen2_audio/mod*_qwen2_audio* @zucchini-nlp @ArthurZucker
-/src/transformers/models/qwen2_vl/mod*_qwen2_vl* @zucchini-nlp @ArthurZucker
-/src/transformers/models/sam/mod*_sam* @zucchini-nlp @ArthurZucker
-/src/transformers/models/siglip/mod*_siglip* @zucchini-nlp
-/src/transformers/models/speech_encoder_decoder/mod*_speech_encoder_decoder* @zucchini-nlp
-/src/transformers/models/tapas/mod*_tapas* @NielsRogge
-/src/transformers/models/trocr/mod*_trocr* @zucchini-nlp
-/src/transformers/models/tvlt/mod*_tvlt* @zucchini-nlp
-/src/transformers/models/tvp/mod*_tvp* @zucchini-nlp
-/src/transformers/models/udop/mod*_udop* @zucchini-nlp
-/src/transformers/models/video_llava/mod*_video_llava* @zucchini-nlp
-/src/transformers/models/vilt/mod*_vilt* @zucchini-nlp
-/src/transformers/models/vipllava/mod*_vipllava* @zucchini-nlp
-/src/transformers/models/vision_encoder_decoder/mod*_vision_encoder_decoder* @Rocketknight1
-/src/transformers/models/vision_text_dual_encoder/mod*_vision_text_dual_encoder* @Rocketknight1
-/src/transformers/models/visual_bert/mod*_visual_bert* @zucchini-nlp
-/src/transformers/models/xclip/mod*_xclip* @zucchini-nlp
-
-# Reinforcement learning models
-/src/transformers/models/decision_transformer/mod*_decision_transformer* @Rocketknight1
-/src/transformers/models/trajectory_transformer/mod*_trajectory_transformer* @Rocketknight1
-
-# Time series models
-/src/transformers/models/autoformer/mod*_autoformer* @Rocketknight1
-/src/transformers/models/informer/mod*_informer* @Rocketknight1
-/src/transformers/models/patchtsmixer/mod*_patchtsmixer* @Rocketknight1
-/src/transformers/models/patchtst/mod*_patchtst* @Rocketknight1
-/src/transformers/models/time_series_transformer/mod*_time_series_transformer* @Rocketknight1
-
-# Graph models
-/src/transformers/models/graphormer/mod*_graphormer* @clefourrier
-
-# Finally, files with no owners that shouldn't generate pings, usually automatically generated and checked in the CI
-utils/dummy*

.github/workflows/TROUBLESHOOT.md

@@ -1,6 +1,6 @@
 # Troubleshooting
 
-This is a document explaining how to deal with various issues on github-actions self-hosted CI. The entries may include actual solutions or pointers to Issues that cover those.
+This is a document explaining how to deal with various issues on github-actions self-hosted CI. The entries may include actually solutions or pointers to Issues that cover those.
 
 ## GitHub Actions (self-hosted CI)
 

.github/workflows/add-model-like.yml

@@ -1,80 +0,0 @@
-name: Add model like runner
-
-on:
-  push:
-    branches:
-      - none # put main here when this is fixed
-  #pull_request:
-  #  paths:
-  #    - "src/**"
-  #    - "tests/**"
-  #    - ".github/**"
-  #  types: [opened, synchronize, reopened]
-
-jobs:
-  run_tests_templates_like:
-    name: "Add new model like template tests"
-    runs-on: ubuntu-22.04
-    steps:
-      - uses: actions/checkout@v4
-
-      - name: Install dependencies
-        run: |
-          sudo apt -y update && sudo apt install -y libsndfile1-dev
-
-      - name: Load cached virtual environment
-        uses: actions/cache@v4
-        id: cache
-        with:
-          path: ~/venv/
-          key: v4-tests_model_like-${{ hashFiles('setup.py') }}
-
-      - name: Create virtual environment on cache miss
-        if: steps.cache.outputs.cache-hit != 'true'
-        run: |
-          python -m venv ~/venv && . ~/venv/bin/activate
-          pip install --upgrade pip!=21.3
-          pip install -e .[dev]
-
-      - name: Check transformers location
-        # make `transformers` available as package (required since we use `-e` flag) and check it's indeed from the repo.
-        run: |
-          . ~/venv/bin/activate
-          python setup.py develop
-          transformers_install=$(pip list -e | grep transformers)
-          transformers_install_array=($transformers_install)
-          transformers_loc=${transformers_install_array[-1]}
-          transformers_repo_loc=$(pwd .)
-          if [ "$transformers_loc" != "$transformers_repo_loc" ]; then
-              echo "transformers is from $transformers_loc but it shoud be from $transformers_repo_loc/src."
-              echo "A fix is required. Stop testing."
-              exit 1
-          fi
-
-      - name: Create model files
-        run: |
-          . ~/venv/bin/activate
-          transformers add-new-model-like --config_file tests/fixtures/add_distilbert_like_config.json --path_to_repo .
-          make style
-          make fix-copies
-
-      - name: Run all PyTorch modeling test
-        run: |
-          . ~/venv/bin/activate
-          python -m pytest -n 2 --dist=loadfile -s --make-reports=tests_new_models tests/bert_new/test_modeling_bert_new.py
-
-      - name: Run style changes
-        run: |
-          . ~/venv/bin/activate
-          make style && make quality && make repo-consistency
-
-      - name: Failure short reports
-        if: ${{ always() }}
-        run: cat reports/tests_new_models/failures_short.txt
-
-      - name: Test suite reports artifacts
-        if: ${{ always() }}
-        uses: actions/upload-artifact@v4
-        with:
-          name: run_all_tests_new_models_test_reports
-          path: reports/tests_new_models

.github/workflows/assign-reviewers.yml

@@ -1,26 +0,0 @@
-name: Assign PR Reviewers
-on:
-  pull_request_target:
-    branches:
-      - main
-    types: [ready_for_review]
-
-jobs:
-  assign_reviewers:
-    permissions:
-       pull-requests: write
-    runs-on: ubuntu-22.04
-    steps:
-      - uses: actions/checkout@v4
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: '3.13'
-      - name: Install dependencies
-        run: |
-          python -m pip install --upgrade pip
-          pip install PyGithub
-      - name: Run assignment script
-        env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-        run: python .github/scripts/assign_reviewers.py

.github/workflows/benchmark.yml

@@ -1,76 +0,0 @@
-name: Self-hosted runner (benchmark)
-
-on:
-  push:
-    branches: [main]
-  pull_request:
-    types: [ opened, labeled, reopened, synchronize ]
-
-concurrency:
-  group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
-  cancel-in-progress: true
-
-env:
-  HF_HOME: /mnt/cache
-
-jobs:
-  benchmark:
-    name: Benchmark
-    strategy:
-      matrix:
-        # group: [aws-g5-4xlarge-cache, aws-p4d-24xlarge-plus] (A100 runner is not enabled)
-        group: [aws-g5-4xlarge-cache]
-    runs-on:
-      group: ${{ matrix.group }}
-    if: |
-      (github.event_name == 'pull_request' && contains( github.event.pull_request.labels.*.name, 'run-benchmark') )||
-      (github.event_name == 'push' && github.ref == 'refs/heads/main')
-    container:
-      image: huggingface/transformers-pytorch-gpu
-      options: --gpus all --privileged --ipc host
-    steps:
-      - name: Get repo
-        uses: actions/checkout@v4
-        with:
-          ref: ${{ github.event.pull_request.head.sha || github.sha }}
-
-      - name: Install libpq-dev & psql
-        run: |
-          apt update
-          apt install -y libpq-dev postgresql-client
-
-      - name: Install benchmark script dependencies
-        run: python3 -m pip install -r benchmark/requirements.txt
-
-      - name: Reinstall transformers in edit mode (remove the one installed during docker image build)
-        working-directory: /transformers
-        run: python3 -m pip uninstall -y transformers && python3 -m pip install -e ".[torch]"
-
-      - name: Run database init script
-        run: |
-          psql -f benchmark/utils/init_db.sql
-        env:
-          PGDATABASE: metrics
-          PGHOST: ${{ secrets.TRANSFORMERS_BENCHMARKS_PGHOST }}
-          PGUSER: transformers_benchmarks
-          PGPASSWORD: ${{ secrets.TRANSFORMERS_BENCHMARKS_PGPASSWORD }}
-
-      - name: Run benchmark
-        run: |
-          git config --global --add safe.directory /__w/transformers/transformers
-          if [ "$GITHUB_EVENT_NAME" = "pull_request" ]; then
-            commit_id=$(echo "${{ github.event.pull_request.head.sha }}")
-          elif [ "$GITHUB_EVENT_NAME" = "push" ]; then
-            commit_id=$GITHUB_SHA
-          fi
-          commit_msg=$(git show -s --format=%s | cut -c1-70)
-          python3 benchmark/benchmarks_entrypoint.py "huggingface/transformers" "$BRANCH_NAME" "$commit_id" "$commit_msg"
-        env:
-          HF_TOKEN: ${{ secrets.HF_HUB_READ_TOKEN }}
-          # Enable this to see debug logs
-          # HF_HUB_VERBOSITY: debug
-          # TRANSFORMERS_VERBOSITY: debug
-          PGHOST: ${{ secrets.TRANSFORMERS_BENCHMARKS_PGHOST }}
-          PGUSER: transformers_benchmarks
-          PGPASSWORD: ${{ secrets.TRANSFORMERS_BENCHMARKS_PGPASSWORD }}
-          BRANCH_NAME: ${{ github.head_ref || github.ref_name }}

.github/workflows/build-ci-docker-images.yml

@@ -1,77 +0,0 @@
-name: Build pr ci-docker
-
-on:
-  push:
-    branches:
-      - push-ci-image # for now let's only build on this branch
-  repository_dispatch:
-  workflow_call:
-    inputs:
-      image_postfix:
-        required: true
-        type: string
-  schedule:
-    - cron: "6 0 * * *"
-
-
-concurrency:
-  group: ${{ github.workflow }}
-  cancel-in-progress: true
-
-jobs:
-  build:
-    runs-on: ubuntu-22.04
-
-    if: ${{ contains(github.event.head_commit.message, '[build-ci-image]') || contains(github.event.head_commit.message, '[push-ci-image]') && '!cancelled()' || github.event_name == 'schedule' }}
-
-    strategy:
-      matrix:
-        file: ["quality", "consistency", "custom-tokenizers", "torch-light", "tf-light", "exotic-models", "torch-tf-light", "jax-light", "examples-torch",  "examples-tf"]
-    continue-on-error: true
-
-    steps:
-      -
-        name: Set tag
-        run: |
-              if ${{contains(github.event.head_commit.message, '[build-ci-image]')}}; then
-                  echo "TAG=huggingface/transformers-${{ matrix.file }}:dev" >> "$GITHUB_ENV"
-                  echo "setting it to DEV!"
-              else
-                  echo "TAG=huggingface/transformers-${{ matrix.file }}" >> "$GITHUB_ENV"
-
-              fi
-      -
-        name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-      -
-        name: Check out code
-        uses: actions/checkout@v4
-      -
-        name: Login to DockerHub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ secrets.DOCKERHUB_USERNAME }}
-          password: ${{ secrets.DOCKERHUB_PASSWORD }}
-      -
-        name: Build ${{ matrix.file }}.dockerfile
-        uses: docker/build-push-action@v5
-        with:
-          context: ./docker
-          build-args: |
-            REF=${{ github.sha }}
-          file: "./docker/${{ matrix.file }}.dockerfile"
-          push: ${{ contains(github.event.head_commit.message, 'ci-image]') ||  github.event_name == 'schedule' }}
-          tags: ${{ env.TAG }}
-
-  notify:
-    runs-on: ubuntu-22.04
-    if: ${{ contains(github.event.head_commit.message, '[build-ci-image]') || contains(github.event.head_commit.message, '[push-ci-image]') && '!cancelled()' || github.event_name == 'schedule' }}
-    steps:
-      - name: Post to Slack
-        if: ${{ contains(github.event.head_commit.message, '[push-ci-image]') && github.event_name != 'schedule' }}
-        uses: huggingface/hf-workflows/.github/actions/post-slack@main
-        with:
-          slack_channel: "#transformers-ci-circleci-images"
-          title: 🤗 New docker images for CircleCI are pushed.
-          status: ${{ job.status }}
-          slack_token: ${{ secrets.SLACK_CIFEEDBACK_BOT_TOKEN }}

.github/workflows/build-docker-images.yml

@@ -1,355 +0,0 @@
-name: Build docker images (scheduled)
-
-on:
-  push:
-    branches:
-      - build_ci_docker_image*
-  repository_dispatch:
-  workflow_call:
-    inputs:
-      image_postfix:
-        required: true
-        type: string
-  schedule:
-    - cron: "17 0 * * *"
-
-concurrency:
-  group: docker-images-builds
-  cancel-in-progress: false
-
-jobs:
-  latest-docker:
-    name: "Latest PyTorch [dev]"
-    runs-on:
-      group: aws-general-8-plus
-    steps:
-      -
-        name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-      -
-        name: Check out code
-        uses: actions/checkout@v4
-      -
-        name: Login to DockerHub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ secrets.DOCKERHUB_USERNAME }}
-          password: ${{ secrets.DOCKERHUB_PASSWORD }}
-      -
-        name: Build and push
-        uses: docker/build-push-action@v5
-        with:
-          context: ./docker/transformers-all-latest-gpu
-          build-args: |
-            REF=main
-          push: true
-          tags: huggingface/transformers-all-latest-gpu${{ inputs.image_postfix }}
-      # Push CI images still need to be re-built daily
-      -
-        name: Build and push (for Push CI) in a daily basis
-        # This condition allows `schedule` events, or `push` events that trigger this workflow NOT via `workflow_call`.
-        # The later case is useful for manual image building for debugging purpose. Use another tag in this case!
-        if: inputs.image_postfix != '-push-ci'
-        uses: docker/build-push-action@v5
-        with:
-          context: ./docker/transformers-all-latest-gpu
-          build-args: |
-            REF=main
-          push: true
-          tags: huggingface/transformers-all-latest-gpu-push-ci
-
-      - name: Post to Slack
-        if: always()
-        uses: huggingface/hf-workflows/.github/actions/post-slack@main
-        with:
-          slack_channel: ${{ secrets.CI_SLACK_CHANNEL_DOCKER }}
-          title: 🤗 Results of the transformers-all-latest-gpu-push-ci docker build
-          status: ${{ job.status }}
-          slack_token: ${{ secrets.SLACK_CIFEEDBACK_BOT_TOKEN }}
-
-  latest-torch-deepspeed-docker:
-    name: "Latest PyTorch + DeepSpeed"
-    runs-on:
-      group: aws-g4dn-2xlarge-cache
-    steps:
-      -
-        name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-      -
-        name: Check out code
-        uses: actions/checkout@v4
-      -
-        name: Login to DockerHub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ secrets.DOCKERHUB_USERNAME }}
-          password: ${{ secrets.DOCKERHUB_PASSWORD }}
-      -
-        name: Build and push
-        uses: docker/build-push-action@v5
-        with:
-          context: ./docker/transformers-pytorch-deepspeed-latest-gpu
-          build-args: |
-            REF=main
-          push: true
-          tags: huggingface/transformers-pytorch-deepspeed-latest-gpu${{ inputs.image_postfix }}
-
-      - name: Post to Slack
-        if: always()
-        uses: huggingface/hf-workflows/.github/actions/post-slack@main
-        with:
-          slack_channel: ${{ secrets.CI_SLACK_CHANNEL_DOCKER}}
-          title: 🤗 Results of the transformers-pytorch-deepspeed-latest-gpu docker build
-          status: ${{ job.status }}
-          slack_token: ${{ secrets.SLACK_CIFEEDBACK_BOT_TOKEN }}
-
-  # Can't build 2 images in a single job `latest-torch-deepspeed-docker` (for `nvcr.io/nvidia`)
-  latest-torch-deepspeed-docker-for-push-ci-daily-build:
-    name: "Latest PyTorch + DeepSpeed (Push CI - Daily Build)"
-    runs-on:
-      group: aws-general-8-plus
-    steps:
-      -
-        name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-      -
-        name: Check out code
-        uses: actions/checkout@v4
-      -
-        name: Login to DockerHub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ secrets.DOCKERHUB_USERNAME }}
-          password: ${{ secrets.DOCKERHUB_PASSWORD }}
-      # Push CI images still need to be re-built daily
-      -
-        name: Build and push (for Push CI) in a daily basis
-        # This condition allows `schedule` events, or `push` events that trigger this workflow NOT via `workflow_call`.
-        # The later case is useful for manual image building for debugging purpose. Use another tag in this case!
-        if: inputs.image_postfix != '-push-ci'
-        uses: docker/build-push-action@v5
-        with:
-          context: ./docker/transformers-pytorch-deepspeed-latest-gpu
-          build-args: |
-            REF=main
-          push: true
-          tags: huggingface/transformers-pytorch-deepspeed-latest-gpu-push-ci
-
-      - name: Post to Slack
-        if: always()
-        uses: huggingface/hf-workflows/.github/actions/post-slack@main
-        with:
-          slack_channel: ${{ secrets.CI_SLACK_CHANNEL_DOCKER }}
-          title: 🤗 Results of the transformers-pytorch-deepspeed-latest-gpu-push-ci docker build
-          status: ${{ job.status }}
-          slack_token: ${{ secrets.SLACK_CIFEEDBACK_BOT_TOKEN }}
-
-  doc-builder:
-    name: "Doc builder"
-    # Push CI doesn't need this image
-    if: inputs.image_postfix != '-push-ci'
-    runs-on:
-      group: aws-general-8-plus
-    steps:
-      -
-        name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-      -
-        name: Check out code
-        uses: actions/checkout@v4
-      -
-        name: Login to DockerHub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ secrets.DOCKERHUB_USERNAME }}
-          password: ${{ secrets.DOCKERHUB_PASSWORD }}
-      -
-        name: Build and push
-        uses: docker/build-push-action@v5
-        with:
-          context: ./docker/transformers-doc-builder
-          push: true
-          tags: huggingface/transformers-doc-builder
-
-      - name: Post to Slack
-        if: always()
-        uses: huggingface/hf-workflows/.github/actions/post-slack@main
-        with:
-          slack_channel: ${{ secrets.CI_SLACK_CHANNEL_DOCKER }}
-          title: 🤗 Results of the huggingface/transformers-doc-builder docker build
-          status: ${{ job.status }}
-          slack_token: ${{ secrets.SLACK_CIFEEDBACK_BOT_TOKEN }}
-
-  latest-pytorch:
-    name: "Latest PyTorch [dev]"
-    # Push CI doesn't need this image
-    if: inputs.image_postfix != '-push-ci'
-    runs-on:
-      group: aws-general-8-plus
-    steps:
-      -
-        name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-      -
-        name: Check out code
-        uses: actions/checkout@v4
-      -
-        name: Login to DockerHub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ secrets.DOCKERHUB_USERNAME }}
-          password: ${{ secrets.DOCKERHUB_PASSWORD }}
-      -
-        name: Build and push
-        uses: docker/build-push-action@v5
-        with:
-          context: ./docker/transformers-pytorch-gpu
-          build-args: |
-            REF=main
-          push: true
-          tags: huggingface/transformers-pytorch-gpu
-
-      - name: Post to Slack
-        if: always()
-        uses: huggingface/hf-workflows/.github/actions/post-slack@main
-        with:
-          slack_channel: ${{ secrets.CI_SLACK_CHANNEL_DOCKER }}
-          title: 🤗 Results of the huggingface/transformers-pytorch-gpudocker build
-          status: ${{ job.status }}
-          slack_token: ${{ secrets.SLACK_CIFEEDBACK_BOT_TOKEN }}
-
-  latest-pytorch-amd:
-    name: "Latest PyTorch (AMD) [dev]"
-    runs-on:
-      group: aws-general-8-plus
-    steps:
-      -
-        name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-      -
-        name: Check out code
-        uses: actions/checkout@v4
-      -
-        name: Login to DockerHub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ secrets.DOCKERHUB_USERNAME }}
-          password: ${{ secrets.DOCKERHUB_PASSWORD }}
-      -
-        name: Build and push
-        uses: docker/build-push-action@v5
-        with:
-          context: ./docker/transformers-pytorch-amd-gpu
-          build-args: |
-            REF=main
-          push: true
-          tags: huggingface/transformers-pytorch-amd-gpu${{ inputs.image_postfix }}
-      # Push CI images still need to be re-built daily
-      -
-        name: Build and push (for Push CI) in a daily basis
-        # This condition allows `schedule` events, or `push` events that trigger this workflow NOT via `workflow_call`.
-        # The later case is useful for manual image building for debugging purpose. Use another tag in this case!
-        if: inputs.image_postfix != '-push-ci'
-        uses: docker/build-push-action@v5
-        with:
-          context: ./docker/transformers-pytorch-amd-gpu
-          build-args: |
-            REF=main
-          push: true
-          tags: huggingface/transformers-pytorch-amd-gpu-push-ci
-
-      - name: Post to Slack
-        if: always()
-        uses: huggingface/hf-workflows/.github/actions/post-slack@main
-        with:
-          slack_channel: ${{ secrets.CI_SLACK_CHANNEL_DOCKER }}
-          title: 🤗 Results of the huggingface/transformers-pytorch-amd-gpu-push-ci build
-          status: ${{ job.status }}
-          slack_token: ${{ secrets.SLACK_CIFEEDBACK_BOT_TOKEN }}
-
-  latest-pytorch-deepspeed-amd:
-    name: "PyTorch + DeepSpeed (AMD) [dev]"
-    runs-on:
-      group: aws-general-8-plus
-    steps:
-      -
-        name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-      -
-        name: Check out code
-        uses: actions/checkout@v4
-      -
-        name: Login to DockerHub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ secrets.DOCKERHUB_USERNAME }}
-          password: ${{ secrets.DOCKERHUB_PASSWORD }}
-      -
-        name: Build and push
-        uses: docker/build-push-action@v5
-        with:
-          context: ./docker/transformers-pytorch-deepspeed-amd-gpu
-          build-args: |
-            REF=main
-          push: true
-          tags: huggingface/transformers-pytorch-deepspeed-amd-gpu${{ inputs.image_postfix }}
-      # Push CI images still need to be re-built daily
-      -
-        name: Build and push (for Push CI) in a daily basis
-        # This condition allows `schedule` events, or `push` events that trigger this workflow NOT via `workflow_call`.
-        # The later case is useful for manual image building for debugging purpose. Use another tag in this case!
-        if: inputs.image_postfix != '-push-ci'
-        uses: docker/build-push-action@v5
-        with:
-          context: ./docker/transformers-pytorch-deepspeed-amd-gpu
-          build-args: |
-            REF=main
-          push: true
-          tags: huggingface/transformers-pytorch-deepspeed-amd-gpu-push-ci
-
-      - name: Post to Slack
-        if: always()
-        uses: huggingface/hf-workflows/.github/actions/post-slack@main
-        with:
-          slack_channel: ${{ secrets.CI_SLACK_CHANNEL_DOCKER }}
-          title: 🤗 Results of the transformers-pytorch-deepspeed-amd-gpu build
-          status: ${{ job.status }}
-          slack_token: ${{ secrets.SLACK_CIFEEDBACK_BOT_TOKEN }}
-
-  latest-quantization-torch-docker:
-    name: "Latest Pytorch + Quantization [dev]"
-     # Push CI doesn't need this image
-    if: inputs.image_postfix != '-push-ci'
-    runs-on:
-      group: aws-general-8-plus
-    steps:
-      -
-        name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-      -
-        name: Check out code
-        uses: actions/checkout@v4
-      -
-        name: Login to DockerHub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ secrets.DOCKERHUB_USERNAME }}
-          password: ${{ secrets.DOCKERHUB_PASSWORD }}
-      -
-        name: Build and push
-        uses: docker/build-push-action@v5
-        with:
-          context: ./docker/transformers-quantization-latest-gpu
-          build-args: |
-            REF=main
-          push: true
-          tags: huggingface/transformers-quantization-latest-gpu${{ inputs.image_postfix }}
-
-      - name: Post to Slack
-        if: always()
-        uses: huggingface/hf-workflows/.github/actions/post-slack@main
-        with:
-          slack_channel: ${{ secrets.CI_SLACK_CHANNEL_DOCKER }}
-          title: 🤗 Results of the transformers-quantization-latest-gpu build
-          status: ${{ job.status }}
-          slack_token: ${{ secrets.SLACK_CIFEEDBACK_BOT_TOKEN }}