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

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* [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
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7
tests/models/data2vec/test_modeling_data2vec_text.py
View File

@@ -39,7 +39,6 @@ if is_torch_available():
Data2VecTextModel,
)
from transformers.models.data2vec.modeling_data2vec_text import (
DATA2VEC_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST,
Data2VecTextForTextEmbeddings,
create_position_ids_from_input_ids,
)
@@ -470,9 +469,9 @@ class Data2VecTextModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTes
@slow
def test_model_from_pretrained(self):
for model_name in DATA2VEC_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = Data2VecTextModel.from_pretrained(model_name)
self.assertIsNotNone(model)
model_name = "facebook/data2vec-text-base"
model = Data2VecTextModel.from_pretrained(model_name)
self.assertIsNotNone(model)
def test_create_position_ids_respects_padding_index(self):
"""Ensure that the default position ids only assign a sequential . This is a regression

7
tests/models/data2vec/test_modeling_data2vec_vision.py
View File

@@ -36,7 +36,6 @@ if is_torch_available():
Data2VecVisionModel,
)
from transformers.models.auto.modeling_auto import MODEL_MAPPING_NAMES
from transformers.models.data2vec.modeling_data2vec_vision import DATA2VEC_VISION_PRETRAINED_MODEL_ARCHIVE_LIST
if is_vision_available():
@@ -298,9 +297,9 @@ class Data2VecVisionModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.Te
@slow
def test_model_from_pretrained(self):
for model_name in DATA2VEC_VISION_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = Data2VecVisionModel.from_pretrained(model_name)
self.assertIsNotNone(model)
model_name = "facebook/data2vec-vision-base-ft1k"
model = Data2VecVisionModel.from_pretrained(model_name)
self.assertIsNotNone(model)
# We will verify our results on an image of cute cats

9
tests/models/data2vec/test_modeling_tf_data2vec_vision.py
View File

@@ -40,9 +40,6 @@ if is_tf_available():
TFData2VecVisionModel,
)
from transformers.modeling_tf_utils import keras
from transformers.models.data2vec.modeling_tf_data2vec_vision import (
TF_DATA2VEC_VISION_PRETRAINED_MODEL_ARCHIVE_LIST,
)
if is_vision_available():
from PIL import Image
@@ -455,9 +452,9 @@ class TFData2VecVisionModelTest(TFModelTesterMixin, PipelineTesterMixin, unittes
@slow
def test_model_from_pretrained(self):
for model_name in TF_DATA2VEC_VISION_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = TFData2VecVisionModel.from_pretrained(model_name)
self.assertIsNotNone(model)
model_name = "facebook/data2vec-vision-base-ft1k"
model = TFData2VecVisionModel.from_pretrained(model_name)
self.assertIsNotNone(model)
# We will verify our results on an image of cute cats