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1551e2dc6d
* First commit: adding all files from tapas_v3 * Fix multiple bugs including soft dependency and new structure of the library * Improve testing by adding torch_device to inputs and adding dependency on scatter * Use Python 3 inheritance rather than Python 2 * First draft model cards of base sized models * Remove model cards as they are already on the hub * Fix multiple bugs with integration tests * All model integration tests pass * Remove print statement * Add test for convert_logits_to_predictions method of TapasTokenizer * Incorporate suggestions by Google authors * Fix remaining tests * Change position embeddings sizes to 512 instead of 1024 * Comment out positional embedding sizes * Update PRETRAINED_VOCAB_FILES_MAP and PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES * Added more model names * Fix truncation when no max length is specified * Disable torchscript test * Make style & make quality * Quality * Address CI needs * Test the Masked LM model * Fix the masked LM model * Truncate when overflowing * More much needed docs improvements * Fix some URLs * Some more docs improvements * Test PyTorch scatter * Set to slow + minify * Calm flake8 down * First commit: adding all files from tapas_v3 * Fix multiple bugs including soft dependency and new structure of the library * Improve testing by adding torch_device to inputs and adding dependency on scatter * Use Python 3 inheritance rather than Python 2 * First draft model cards of base sized models * Remove model cards as they are already on the hub * Fix multiple bugs with integration tests * All model integration tests pass * Remove print statement * Add test for convert_logits_to_predictions method of TapasTokenizer * Incorporate suggestions by Google authors * Fix remaining tests * Change position embeddings sizes to 512 instead of 1024 * Comment out positional embedding sizes * Update PRETRAINED_VOCAB_FILES_MAP and PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES * Added more model names * Fix truncation when no max length is specified * Disable torchscript test * Make style & make quality * Quality * Address CI needs * Test the Masked LM model * Fix the masked LM model * Truncate when overflowing * More much needed docs improvements * Fix some URLs * Some more docs improvements * Add add_pooling_layer argument to TapasModel Fix comments by @sgugger and @patrickvonplaten * Fix issue in docs + fix style and quality * Clean up conversion script and add task parameter to TapasConfig * Revert the task parameter of TapasConfig Some minor fixes * Improve conversion script and add test for absolute position embeddings * Improve conversion script and add test for absolute position embeddings * Fix bug with reset_position_index_per_cell arg of the conversion cli * Add notebooks to the examples directory and fix style and quality * Apply suggestions from code review * Move from `nielsr/` to `google/` namespace * Apply Sylvain's comments Co-authored-by: sgugger <sylvain.gugger@gmail.com> Co-authored-by: Rogge Niels <niels.rogge@howest.be> Co-authored-by: LysandreJik <lysandre.debut@reseau.eseo.fr> Co-authored-by: Lysandre Debut <lysandre@huggingface.co> Co-authored-by: sgugger <sylvain.gugger@gmail.com> |
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| .. | ||
| albert.rst | ||
| auto.rst | ||
| bart.rst | ||
| barthez.rst | ||
| bert.rst | ||
| bertgeneration.rst | ||
| blenderbot.rst | ||
| camembert.rst | ||
| ctrl.rst | ||
| deberta.rst | ||
| dialogpt.rst | ||
| distilbert.rst | ||
| dpr.rst | ||
| electra.rst | ||
| encoderdecoder.rst | ||
| flaubert.rst | ||
| fsmt.rst | ||
| funnel.rst | ||
| gpt.rst | ||
| gpt2.rst | ||
| layoutlm.rst | ||
| longformer.rst | ||
| lxmert.rst | ||
| marian.rst | ||
| mbart.rst | ||
| mobilebert.rst | ||
| mpnet.rst | ||
| mt5.rst | ||
| pegasus.rst | ||
| prophetnet.rst | ||
| rag.rst | ||
| reformer.rst | ||
| retribert.rst | ||
| roberta.rst | ||
| squeezebert.rst | ||
| t5.rst | ||
| tapas.rst | ||
| transformerxl.rst | ||
| xlm.rst | ||
| xlmprophetnet.rst | ||
| xlmroberta.rst | ||
| xlnet.rst | ||