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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@@ -37,7 +37,6 @@ if is_torch_available():
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from torch import nn
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from transformers import MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING, VivitForVideoClassification, VivitModel
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from transformers.models.vivit.modeling_vivit import VIVIT_PRETRAINED_MODEL_ARCHIVE_LIST
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if is_vision_available():
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@@ -225,9 +224,9 @@ class VivitModelTest(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 VIVIT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
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model = VivitModel.from_pretrained(model_name)
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self.assertIsNotNone(model)
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model_name = "google/vivit-b-16x2-kinetics400"
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model = VivitModel.from_pretrained(model_name)
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self.assertIsNotNone(model)
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def test_attention_outputs(self):
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config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
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