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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/deit/test_modeling_deit.py
View File

@@ -50,7 +50,6 @@ if is_torch_available():
MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES,
MODEL_MAPPING_NAMES,
)
from transformers.models.deit.modeling_deit import DEIT_PRETRAINED_MODEL_ARCHIVE_LIST
if is_vision_available():
@@ -367,9 +366,9 @@ class DeiTModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
@slow
def test_model_from_pretrained(self):
for model_name in DEIT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = DeiTModel.from_pretrained(model_name)
self.assertIsNotNone(model)
model_name = "facebook/deit-base-distilled-patch16-224"
model = DeiTModel.from_pretrained(model_name)
self.assertIsNotNone(model)
# We will verify our results on an image of cute cats

7
tests/models/deit/test_modeling_tf_deit.py
View File

@@ -41,7 +41,6 @@ if is_tf_available():
TFDeiTModel,
)
from transformers.modeling_tf_utils import keras
from transformers.models.deit.modeling_tf_deit import TF_DEIT_PRETRAINED_MODEL_ARCHIVE_LIST
if is_vision_available():
@@ -252,9 +251,9 @@ class TFDeiTModelTest(TFModelTesterMixin, PipelineTesterMixin, unittest.TestCase
@slow
def test_model_from_pretrained(self):
for model_name in TF_DEIT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = TFDeiTModel.from_pretrained(model_name)
self.assertIsNotNone(model)
model_name = "facebook/deit-base-distilled-patch16-224"
model = TFDeiTModel.from_pretrained(model_name)
self.assertIsNotNone(model)
# We will verify our results on an image of cute cats