- 07 Jun, 2024 1 commit
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amyeroberts authored
* Rename to test_model_common_attributes The method name is misleading - it is testing being able to get and set embeddings, not common attributes to all models * Explicitly skip
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- 22 May, 2024 1 commit
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Arthur authored
* update ruff version * fix research projects * Empty * Fix errors --------- Co-authored-by:Lysandre <lysandre@huggingface.co>
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- 09 May, 2024 1 commit
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Jacky Lee authored
* feat: enable dynamic resolution for vivit * fix: formatting * remove: print statement for testing * Update src/transformers/models/vivit/modeling_vivit.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/vivit/modeling_vivit.py Co-authored-by:
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- 25 Mar, 2024 1 commit
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Lysandre Debut authored
* [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:
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- 16 Aug, 2023 1 commit
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amyeroberts authored
* Add copied from statements for image processors * Move out rescale and normalize to base image processor * Remove rescale and normalize from vit (post rebase) * Update docstrings and tidy up * PR comments * Add input_data_format as preprocess argument * Resolve tests and tidy up * Remove num_channels argument * Update doc strings -> default ints not in code formatting
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- 11 Aug, 2023 1 commit
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amyeroberts authored
* Refactor image processor test mixin - Move test_call_numpy, test_call_pytorch, test_call_pil to mixin - Rename mixin to reflect handling of logic more than saving - Add prepare_image_inputs, expected_image_outputs for tests * Fix for oneformer
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- 03 Aug, 2023 1 commit
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amyeroberts authored
* Update InstructBLIP values Note: the tests are not independent. Running the test independentely produces different logits compared to running all the integration tests * Update test values after rescale update * Remove left over commented out code * Revert to previous rescaling logic * Update rescale tests
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- 02 Aug, 2023 1 commit
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amyeroberts authored
Rescale tests - cast to float after rescaling to reflect #25229
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- 31 Jul, 2023 1 commit
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Yih-Dar authored
* update tiny_model_summary.json * update * update * update --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 28 Jul, 2023 1 commit
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amyeroberts authored
* Fix rescaling bug * Add tests * Update integration tests * Fix up * Update src/transformers/image_transforms.py * Update test - new possible order in list
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- 25 Jul, 2023 1 commit
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Sylvain Gugger authored
* Fix last models for common tests that are too big. * Remove print statement
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- 14 Jul, 2023 1 commit
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Sylvain Gugger authored
* First models * Conditional DETR * Treat DETR models, skip others * Skip LayoutLMv2 as well * Fix last tests
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- 11 Jul, 2023 1 commit
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Jegor Kit拧kerkin authored
* Add model * Add ability to get classification head weights * Add docs * Add imports to __init__.py * Run style * Fix imports and add mdx doc * Run style * Fix copyright * Fix config docstring * Remove imports of ViViTLayer and load_tf_weights_in_vivit * Remove FeatureExtractor and replace with ImageProcessor everywhere * Remove ViViTForPreTraining from vivit.mdx * Change ViViT -> Vivit everywhere * Add model_doc to _toctree.yml * Replace tuples with lists in arguments of VivitConfig * Rename patch_size to tubelet_size in TubeletEmbeddings * Fix checkpoint names * Add tests * Remove unused num_frames * Fix imports for VivitImageProcessor * Minor fixes * Decrease number of frames in VivitModelTester from 32 to 16 * Decrease number of frames in VivitModelTester from 16 to 8 * Add initialization for pos embeddings * Rename Vivit -> ViViT in some places * Fix docstring and formatting * Rename TubeletEmbeddings -> VivitTubeletEmbeddings * Remove load_tf_weights_in_vivit * Change checkpoint name * Remove Vivit _TOKENIZER_FOR_DOC * Fix * Fix VivitTubeletEmbeddings and pass config object as parameter * Use image_size and num_frames instead of video_size * Change conversion script and fix differences with the orig implementation * Fix docstrings * Add attention head pruning * Run style and fixup * Fix tests * Add ViViT to video_classification.mdx * Save processor in conversion script * Fix * Add image processor test * Run fixup and style * Run fix-copies * Update tests/models/vivit/test_modeling_vivit.py Co-authored-by:
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