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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@@ -36,7 +36,6 @@ if is_torch_available():
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MraForTokenClassification,
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MraModel,
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)
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from transformers.models.mra.modeling_mra import MRA_PRETRAINED_MODEL_ARCHIVE_LIST
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class MraModelTester:
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@@ -352,9 +351,9 @@ class MraModelTest(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 MRA_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
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model = MraModel.from_pretrained(model_name)
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self.assertIsNotNone(model)
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model_name = "uw-madison/mra-base-512-4"
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model = MraModel.from_pretrained(model_name)
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self.assertIsNotNone(model)
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@unittest.skip(reason="MRA does not output attentions")
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def test_attention_outputs(self):
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