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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@@ -32,7 +32,6 @@ if is_torch_available():
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import torch
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from transformers import UperNetForSemanticSegmentation
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from transformers.models.upernet.modeling_upernet import UPERNET_PRETRAINED_MODEL_ARCHIVE_LIST
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if is_vision_available():
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@@ -248,9 +247,9 @@ class UperNetModelTest(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 UPERNET_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
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model = UperNetForSemanticSegmentation.from_pretrained(model_name)
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self.assertIsNotNone(model)
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model_name = "openmmlab/upernet-convnext-tiny"
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model = UperNetForSemanticSegmentation.from_pretrained(model_name)
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self.assertIsNotNone(model)
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# We will verify our results on an image of ADE20k
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