SUMIN/HuggingFace_transformer
1
0
Fork 0
Code Issues Pull Requests Actions 7 Packages Projects Releases Wiki Activity

Remove static pretrained maps from the library's internals (#29112)

Browse Source 
* [test_all] Remove static pretrained maps from the library's internals

* Deprecate archive maps instead of removing them

* Revert init changes

* [test_all] Deprecate instead of removing

* [test_all] PVT v2 support

* [test_all] Tests should all pass

* [test_all] Style

* Address review comments

* Update src/transformers/models/deprecated/_archive_maps.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/deprecated/_archive_maps.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* [test_all] trigger tests

* [test_all] LLAVA

* [test_all] Bad rebase

---------

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
This commit is contained in:
Lysandre Debut
2024-03-25 10:33:38 +01:00
committed by GitHub
parent 76a33a1092
commit 39114c0383
842 changed files with 4608 additions and 8613 deletions
Download Patch File Download Diff File Expand all files Collapse all files

7
tests/models/xglm/test_modeling_tf_xglm.py
View File

@@ -29,7 +29,6 @@ if is_tf_available():
import tensorflow as tf
from transformers.models.xglm.modeling_tf_xglm import (
TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST,
TFXGLMForCausalLM,
TFXGLMModel,
)
@@ -161,9 +160,9 @@ class TFXGLMModelTest(TFModelTesterMixin, PipelineTesterMixin, unittest.TestCase
@slow
def test_model_from_pretrained(self):
for model_name in TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = TFXGLMModel.from_pretrained(model_name)
self.assertIsNotNone(model)
model_name = "facebook/xglm-564M"
model = TFXGLMModel.from_pretrained(model_name)
self.assertIsNotNone(model)
@unittest.skip(reason="Currently, model embeddings are going to undergo a major refactor.")
def test_resize_token_embeddings(self):

8
tests/models/xglm/test_modeling_xglm.py
View File

@@ -36,7 +36,7 @@ from ...test_pipeline_mixin import PipelineTesterMixin
if is_torch_available():
import torch
from transformers import XGLM_PRETRAINED_MODEL_ARCHIVE_LIST, XGLMForCausalLM, XGLMModel, XGLMTokenizer
from transformers import XGLMForCausalLM, XGLMModel, XGLMTokenizer
class XGLMModelTester:
@@ -349,9 +349,9 @@ class XGLMModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin
@slow
def test_model_from_pretrained(self):
for model_name in XGLM_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = XGLMModel.from_pretrained(model_name)
self.assertIsNotNone(model)
model_name = "facebook/xglm-564M"
model = XGLMModel.from_pretrained(model_name)
self.assertIsNotNone(model)
@unittest.skip("Does not work on the tiny model as we keep hitting edge cases.")
def test_model_parallelism(self):