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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@@ -38,7 +38,6 @@ if is_torch_available():
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RoFormerModel,
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)
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from transformers.models.roformer.modeling_roformer import (
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ROFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
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RoFormerSelfAttention,
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RoFormerSinusoidalPositionalEmbedding,
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)
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@@ -482,9 +481,9 @@ class RoFormerModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase
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@slow
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def test_model_from_pretrained(self):
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for model_name in ROFORMER_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
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model = RoFormerModel.from_pretrained(model_name)
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self.assertIsNotNone(model)
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model_name = "junnyu/roformer_chinese_small"
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model = RoFormerModel.from_pretrained(model_name)
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self.assertIsNotNone(model)
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@unittest.skip(
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reason="This architecure seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
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