Remove static pretrained maps from the library's internals (#29112)
* [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>
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@@ -30,7 +30,6 @@ if is_torch_available():
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import torch
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from transformers import (
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DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
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DistilBertForMaskedLM,
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DistilBertForMultipleChoice,
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DistilBertForQuestionAnswering,
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@@ -261,9 +260,9 @@ class DistilBertModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCa
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@slow
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def test_model_from_pretrained(self):
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for model_name in DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
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model = DistilBertModel.from_pretrained(model_name)
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self.assertIsNotNone(model)
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model_name = "distilbert-base-uncased"
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model = DistilBertModel.from_pretrained(model_name)
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self.assertIsNotNone(model)
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@slow
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@require_torch_accelerator
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@@ -30,7 +30,6 @@ if is_tf_available():
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import tensorflow as tf
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from transformers.models.distilbert.modeling_tf_distilbert import (
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TF_DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
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TFDistilBertForMaskedLM,
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TFDistilBertForMultipleChoice,
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TFDistilBertForQuestionAnswering,
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@@ -233,9 +232,9 @@ class TFDistilBertModelTest(TFModelTesterMixin, PipelineTesterMixin, unittest.Te
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@slow
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def test_model_from_pretrained(self):
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for model_name in list(TF_DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]):
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model = TFDistilBertModel.from_pretrained(model_name)
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self.assertIsNotNone(model)
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model_name = "distilbert/distilbert-base-cased"
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model = TFDistilBertModel.from_pretrained(model_name)
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self.assertIsNotNone(model)
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@require_tf
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