[WIP] Tapas v4 (tres) (#9117)
* 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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NielsRogge
@@ -176,19 +176,22 @@ and conversion utilities for the following models:
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30. :doc:`T5 <model_doc/t5>` (from Google AI) released with the paper `Exploring the Limits of Transfer Learning with a
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Unified Text-to-Text Transformer <https://arxiv.org/abs/1910.10683>`__ by Colin Raffel and Noam Shazeer and Adam
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Roberts and Katherine Lee and Sharan Narang and Michael Matena and Yanqi Zhou and Wei Li and Peter J. Liu.
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31. :doc:`Transformer-XL <model_doc/transformerxl>` (from Google/CMU) released with the paper `Transformer-XL:
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31. `TAPAS <https://huggingface.co/transformers/master/model_doc/tapas.html>`__ released with the paper `TAPAS: Weakly
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Supervised Table Parsing via Pre-training <https://arxiv.org/abs/2004.02349>`__ by Jonathan Herzig, Paweł Krzysztof
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Nowak, Thomas Müller, Francesco Piccinno and Julian Martin Eisenschlos.
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32. :doc:`Transformer-XL <model_doc/transformerxl>` (from Google/CMU) released with the paper `Transformer-XL:
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Attentive Language Models Beyond a Fixed-Length Context <https://arxiv.org/abs/1901.02860>`__ by Zihang Dai*,
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Zhilin Yang*, Yiming Yang, Jaime Carbonell, Quoc V. Le, Ruslan Salakhutdinov.
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32. :doc:`XLM <model_doc/xlm>` (from Facebook) released together with the paper `Cross-lingual Language Model
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33. :doc:`XLM <model_doc/xlm>` (from Facebook) released together with the paper `Cross-lingual Language Model
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Pretraining <https://arxiv.org/abs/1901.07291>`__ by Guillaume Lample and Alexis Conneau.
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33. :doc:`XLM-ProphetNet <model_doc/xlmprophetnet>` (from Microsoft Research) released with the paper `ProphetNet:
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34. :doc:`XLM-ProphetNet <model_doc/xlmprophetnet>` (from Microsoft Research) released with the paper `ProphetNet:
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Predicting Future N-gram for Sequence-to-Sequence Pre-training <https://arxiv.org/abs/2001.04063>`__ by Yu Yan,
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Weizhen Qi, Yeyun Gong, Dayiheng Liu, Nan Duan, Jiusheng Chen, Ruofei Zhang and Ming Zhou.
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34. :doc:`XLM-RoBERTa <model_doc/xlmroberta>` (from Facebook AI), released together with the paper `Unsupervised
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35. :doc:`XLM-RoBERTa <model_doc/xlmroberta>` (from Facebook AI), released together with the paper `Unsupervised
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Cross-lingual Representation Learning at Scale <https://arxiv.org/abs/1911.02116>`__ by Alexis Conneau*, Kartikay
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Khandelwal*, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke
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Zettlemoyer and Veselin Stoyanov.
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35. :doc:`XLNet <model_doc/xlnet>` (from Google/CMU) released with the paper `XLNet: Generalized Autoregressive
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36. :doc:`XLNet <model_doc/xlnet>` (from Google/CMU) released with the paper `XLNet: Generalized Autoregressive
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Pretraining for Language Understanding <https://arxiv.org/abs/1906.08237>`__ by Zhilin Yang*, Zihang Dai*, Yiming
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Yang, Jaime Carbonell, Ruslan Salakhutdinov, Quoc V. Le.
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@@ -269,6 +272,8 @@ TensorFlow and/or Flax.
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+-----------------------------+----------------+----------------+-----------------+--------------------+--------------+
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| T5 | ✅ | ✅ | ✅ | ✅ | ❌ |
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+-----------------------------+----------------+----------------+-----------------+--------------------+--------------+
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| TAPAS | ✅ | ❌ | ✅ | ❌ | ❌ |
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+-----------------------------+----------------+----------------+-----------------+--------------------+--------------+
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| Transformer-XL | ✅ | ❌ | ✅ | ✅ | ❌ |
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+-----------------------------+----------------+----------------+-----------------+--------------------+--------------+
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| XLM | ✅ | ❌ | ✅ | ✅ | ❌ |
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@@ -382,6 +387,7 @@ TensorFlow and/or Flax.
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model_doc/roberta
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model_doc/squeezebert
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model_doc/t5
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model_doc/tapas
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model_doc/transformerxl
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model_doc/xlm
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model_doc/xlmprophetnet
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