- 18 Mar, 2022 1 commit
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Yih-Dar authored
* Aggressive PT/TF equivalence test on PT side * Ugly fix for `TFTapasForQuestionAnswering` * apply review suggestions Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 10 Mar, 2022 1 commit
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NielsRogge authored
* Add attentions_option to common tester * Fix tests, apply suggestion * Apply suggestion from code review Co-authored-by:Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
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- 01 Mar, 2022 2 commits
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NielsRogge authored
* Add problem_type to missing models * Fix deit test Co-authored-by: -
Eduardo Gonzalez Ponferrada authored
* Add data2vec model cloned from roberta * Add checkpoint conversion script * Fix copies * Update docs * Add checkpoint conversion script * Remove fairseq data2vec_text script and fix format * Add comment on where to get data2vec_text.py * Remove mock implementation cheat.py and fix style * Fix copies * Remove TF and Flax classes from init * Add back copy from fairseq data2vec_text.py and fix style * Update model name in docs/source/index.mdx to be CamelCase * Revert model name in table to lower-case to get check_table test to pass * Update src/transformers/models/data2vec/__init__.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/data2vec/convert_data2vec_original_pytorch_checkpoint_to_pytorch.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update docs/source/model_doc/data2vec.mdx Co-authored-by:
Eduardo Gonzalez Ponferrada <eduardo@ferrumhealth.com> Co-authored-by:
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- 28 Feb, 2022 1 commit
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Patrick von Platen authored
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- 24 Feb, 2022 1 commit
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Sylvain Gugger authored
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- 17 Feb, 2022 1 commit
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NielsRogge authored
* Add first draft * Make model importable * Make SwinForMaskedImageModeling importable * Fix imports * Add missing inits * Add support for Swin * Fix bug * Fix bug * Fix another bug * Fix Swin MIM implementation * Fix default encoder stride * Fix Swin * Add print statements for debugging * Add image_size data argument * Fix Swin * Fix image_size * Add print statements for debugging * Fix print statement * Remove print statements * Improve reshaping of bool_masked_pos * Add support for DeiT, fix tests * Improve docstrings * Apply new black version * Improve script * Fix bug * Improve README * Apply suggestions from code review * Remove DS_Store and add to gitignore * Apply suggestions from code review + fix BEiT Flax * Revert BEiT changes * Improve README * Fix code quality * Improve README Co-authored-by:
Niels Rogge <nielsrogge@Nielss-MBP.localdomain> Co-authored-by:
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- 15 Feb, 2022 1 commit
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Lysandre Debut authored
* Fix model equivalence tests * Apply suggestions from code review Co-authored-by:
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- 09 Feb, 2022 1 commit
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Sylvain Gugger authored
* Make sure custom configs work with Transformers * Apply code review suggestions
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- 08 Feb, 2022 1 commit
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Joao Gante authored
* Add wrapper classes * convert inner layers to tf * Add TF Encoder and Decoder layers * TFSpeech2Text models * Loadable model * TF model with same outputs as PT model * test skeleton * correct tests and run the fixup * correct attention expansion * TFSpeech2Text pask_key_values with TF format
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- 07 Feb, 2022 1 commit
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Michael Benayoun authored
* Change the way tracing happens, enabling dynamic axes out of the box * Update the tests and modeling xlnet * Add the non recoding of leaf modules to avoid recording more values for the methods to record than what will be seen at tracing time (which would otherwise desynchronize the recorded values and the values that need to be given to the proxies during tracing, causing errors). * Comments and making tracing work for gpt-j and xlnet * Refactore things related to num_choices (and batch_size, sequence_length) * Update fx to work on PyTorch 1.10 * Postpone autowrap_function feature usage for later * Add copyrights * Remove unnecessary file * Fix issue with add_new_model_like * Apply suggestions
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- 02 Feb, 2022 1 commit
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Sylvain Gugger authored
* Allow dynamic modules to use relative imports * Work for configs * Fix last merge conflict * Save code of registered custom objects * Map strings to strings * Fix test * Add tokenizer * Rework tests * Tests * Ignore fixtures py files for tests * Tokenizer test + fix collection * With full path * Rework integration * Fix typo * Remove changes in conftest * Test for tokenizers * Add documentation * Update docs/source/custom_models.mdx Co-authored-by:
Lysandre Debut <lysandre@huggingface.co> * Add file structure and file content * Add more doc * Style * Update docs/source/custom_models.mdx Co-authored-by:
Suraj Patil <surajp815@gmail.com> * Address review comments Co-authored-by:
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- 20 Dec, 2021 1 commit
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Sylvain Gugger authored
* Add a main_input_name attribute to all models * Fix tests * Wtf Vs Code? * Update src/transformers/models/imagegpt/modeling_imagegpt.py Co-authored-by:
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- 29 Nov, 2021 1 commit
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NielsRogge authored
* Rename * Add MODEL_FOR_CAUSAL_IMAGE_MODELING_MAPPING
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- 18 Nov, 2021 1 commit
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Sylvain Gugger authored
* Add a post init method to all models * Fix tests * Fix last tests * Fix templates * Add comment * Forgot to save
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- 16 Nov, 2021 1 commit
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Sylvain Gugger authored
* Fix gradient_checkpointing backward compatibility * Remove needless line * make sure mask prob is big enough and length small enough * Fix tests Co-authored-by:
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- 09 Nov, 2021 1 commit
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Yih-Dar authored
* Start the work for TFViTModel * Convert to TF code - need to check in the follow up commits * Clean up model code * Expose TFViTModel * make style * make quality * Add test * make style & quality * Fix some imports * fix wrong usage - *kwargs => ** kwargs * Fix Conv2D weight loading (PT->TF) issue * Add tests for images with different sizes + fix model * Fix some common tests for TFViTModel * Use inputs instead of input_ids in test_compile_tf_model * Add a comment about transpose and Conv2D in convert_tf_weight_name_to_pt_weight_name * Avoid transpose in TFViT call * Fix Conv2D issue in load_tf2_weights_in_pytorch_model * Use tf.keras.layers.Conv2D instead of tf.nn.conv2d * Using simpler heuristic to detect Conv2D layer * Change convert_tf_weight_name_to_pt_weight_name to return TransposeType * Check tf_weight_shape is not None before using it * Apply suggestions from code review Co-authored-by:
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- 08 Nov, 2021 1 commit
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Sylvain Gugger authored
* Dynamic configs * Add config test * Better tests * Add tokenizer and test * Add to from_config * With save
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- 02 Nov, 2021 1 commit
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Sylvain Gugger authored
* Update Transformers to huggingface_hub >= 0.1.0 * Forgot to save... * Style * Fix test
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- 01 Nov, 2021 1 commit
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NielsRogge authored
* Add first draft * Make forward pass work * Improve conversion script * Add notebook that checks if it works * Add BeitForSemanticSegmentation to the tests * More improvements * Make BeitForSemanticSegmentation consistent with Segformer * Small bug fix * Add BeitForSemanticSegmentation to docs * Make sure model doesn't output hidden states when the user doesn't want to * Make it possible to convert the large model * Fix issue * Fix conversion script for large model * Add auxiliary_head option to semantic segmentation model * Apply suggestions from @sgugger's review * Apply suggestions from code review * Fix failing test Co-authored-by:Lysandre <lysandre.debut@reseau.eseo.fr>
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- 29 Oct, 2021 1 commit
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Sylvain Gugger authored
* Generalize problem_type to all classification models * Missing import * Deberta BC and fix tests * Fix template * Missing imports * Revert change to reformer test * Fix style
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- 25 Oct, 2021 1 commit
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Patrick von Platen authored
* up * up * up * up * up * up * up * add clip * fix clip PyTorch * fix clip PyTorch * up * up * up * up * up * up * up
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- 21 Oct, 2021 1 commit
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Li-Huai (Allan) Lin authored
* Fix * Style * Name * Fix tests * Style * Remove embed sizes checking * Disable some tests * Fix * Apply suggestion
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- 11 Oct, 2021 1 commit
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Patrick von Platen authored
[Gradient checkpoining] Correct disabling `find_unused_parameters` in Trainer when gradient checkpointing is enabled (#13961) * up * correct test
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- 05 Oct, 2021 1 commit
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Michael Benayoun authored
* Symbolic trace dynamic axes support for BERT like models (albert, bert, distilbert, mobilebert, electra, megatron-bert) * Sanity checks before tracing that make sure the model to trace is supported * Adapted to PyTorch 1.9 Co-authored-by:Michael Benayoun <michael@huggingface.co>
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- 22 Sep, 2021 1 commit
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Sylvain Gugger authored
* Make gradient_checkpointing a training argument * Update src/transformers/modeling_utils.py Co-authored-by:
Stas Bekman <stas00@users.noreply.github.com> * Update src/transformers/configuration_utils.py Co-authored-by:
Stas Bekman <stas@stason.org>
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- 20 Sep, 2021 1 commit
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Sylvain Gugger authored
* Dynamic model * Use defensive flag * Style * Doc and arg rename * Arg rename * Add tests * Apply suggestions from code review Co-authored-by:
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- 15 Sep, 2021 1 commit
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Patrick von Platen authored
* finish * delete bogus file * correct some stuff * finish * finish
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- 31 Aug, 2021 2 commits
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Sylvain Gugger authored
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Sylvain Gugger authored
* Incorporate tests dependencies in tests_fetcher * Harder modif * Debug * Loop through all files * Last modules * Remove debug statement
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- 24 Aug, 2021 1 commit
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Stas Bekman authored
* fix AutoModel.from_pretrained(..., torch_dtype=...) * fix to_diff_dict * add better test * torch is not always available when a model has self.torch_dtype
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- 15 Jul, 2021 1 commit
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Lysandre Debut authored
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- 13 Jul, 2021 1 commit
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Sylvain Gugger authored
* Add option to load a pretrained model with mismatched shapes * Fail at loading when mismatched shapes in Flax * Fix tests * Update src/transformers/modeling_flax_utils.py Co-authored-by:
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- 01 Jul, 2021 1 commit
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Stas Bekman authored
* fix lm_head.decoder.weight ignore_key handling * fix the mutable class variable * Update src/transformers/models/roberta/modeling_roberta.py Co-authored-by:
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- 29 Jun, 2021 1 commit
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Stas Bekman authored
* [models] respect dtype of the model when instantiating it * cleanup * cleanup * rework to handle non-float dtype * fix * switch to fp32 tiny model * improve * use dtype.is_floating_point * Apply suggestions from code review Co-authored-by:
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- 24 Jun, 2021 1 commit
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Lysandre Debut authored
* Fix torchscript tests * Better test * Remove bogus print
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- 23 Jun, 2021 2 commits
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Michael Benayoun authored
Co-authored-by: -
Sylvain Gugger authored
* Clean push to hub API * Create working dir if it does not exist * Different tweak * New API + all models + test Flax * Adds the Trainer clean up * Update src/transformers/file_utils.py Co-authored-by:
Julien Chaumond <julien@huggingface.co> * Add generated_from_trainer tag * Update to new version * Fixes Co-authored-by:
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- 14 Jun, 2021 1 commit
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Stas Bekman authored
* consistent nn. and nn.functional: p3 templates * restore
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- 09 Jun, 2021 1 commit
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NielsRogge authored
* Squash all commits of modeling_detr_v7 branch into one * Improve docs * Fix tests * Style * Improve docs some more and fix most tests * Fix slow tests of ViT, DeiT and DETR * Improve replacement of batch norm * Restructure timm backbone forward * Make DetrForSegmentation support any timm backbone * Fix name of output * Address most comments by @LysandreJik * Give better names for variables * Conditional imports + timm in setup.py * Address additional comments by @sgugger * Make style, add require_timm and require_vision to tests茅 * Remove train_backbone attribute of DetrConfig, add methods to freeze/unfreeze backbone * Add png files to fixtures * Fix type hint * Add timm to workflows * Add `BatchNorm2d` to the weight initialization * Fix retain_grad test * Replace model checkpoints by Facebook namespace * Fix name of checkpoint in test * Add user-friendly message when scipy is not available * Address most comments by @patrickvonplaten * Remove return_intermediate_layers attribute of DetrConfig and simplify Joiner * Better initialization * Scipy is necessary to get sklearn metrics * Rename TimmBackbone to DetrTimmConvEncoder and rename DetrJoiner to DetrConvModel * Make style * Improve docs and add 2 community notebooks Co-authored-by:
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