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- 07 Feb, 2022 6 commits
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Fran莽ois REMY authored
* Wav2Vec2 models must either throw or deal with add_apater Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * Add pre-add_adapter backwards compatibility * Add pre-add_adapter backwards compatibility * Fix issue in tests/test_modeling_wav2vec2.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com>
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Anton Lozhkov authored
* Unused import * Make `has_length()` torch-independent to use in callbacks * Update src/transformers/trainer_utils.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
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NielsRogge authored
* First draft * Add conversion script * Improve conversion script * Improve docs and implement tests * Define model output class * Fix tests * Fix more tests * Add model to README * Apply suggestions from code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Apply more suggestions from code review * Apply suggestions from code review * Rename dims to hidden_sizes * Fix equivalence test * Rename gamma to gamma_parameter * Clean up conversion script * Add ConvNextFeatureExtractor * Add corresponding tests * Implement feature extractor correctly * Make implementation cleaner * Add ConvNextStem class * Improve design * Update design to also include encoder * Fix gamma parameter * Use sample docstrings * Finish conversion, add center cropping * Replace nielsr by facebook, make feature extractor tests smaller * Fix integration test Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
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Patrick von Platen authored
* [torch_int_div] Correct true division in generation * up * up
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Patrick von Platen authored
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Patrick von Platen authored
This reverts commit 854a0d52.
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- 04 Feb, 2022 4 commits
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Sylvain Gugger authored
* Standardize instance segmentation models outputs * Rename output * Update src/transformers/modeling_outputs.py Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Add legacy argument to the config and model forward * Update src/transformers/models/beit/modeling_beit.py Co-authored-by:
Lysandre Debut <lysandre@huggingface.co> * Copy fix in Segformer Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by:
Lysandre Debut <lysandre@huggingface.co>
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Yih-Dar authored
* fix * fix test * remove expected_num_hidden_layers Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Sanchit Gandhi authored
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Yih-Dar authored
Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 03 Feb, 2022 5 commits
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Yih-Dar authored
* Remove return_loss from Flax models * fix more * fix Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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davidleonfdez authored
* Add preprocess_logits_for_metrics Trainer param * Compute accuracy in LM examples * Improve comments
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NielsRogge authored
* Add general docstrings * Remove legacy docstrings * Add BEiT * Add DEiT * Add SegFormer * Fix beit output class * Fix missing return_dict
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Yih-Dar authored
Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Yih-Dar authored
Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 02 Feb, 2022 9 commits
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CHI LIU authored
* Correct eos_token_id set in generate * Set eos_token_id in test * Correct eos_token_id set in generate * Set eos_token_id in test
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SaulLu authored
* change truncation_side in init of `PreTrainedTokenizerBase` Co-authored-by:
LSinev <LSinev@users.noreply.github.com> * add test * Revert "replace assert with exception for `padding_side` arg in `PreTrainedTokenizerBase` `__init__`" This reverts commit 7a98b87962d2635c7e4d4f00db3948b694624843. * fix kwargs * Revert "fix kwargs" This reverts commit 67b0a5270e8cf1dbf70e6b0232e94c0452b6946f. * Update tests/test_tokenization_common.py Co-authored-by:
Nicolas Patry <patry.nicolas@protonmail.com> * delete truncation_side variable * reorganize test * format * complete doc * Revert "Revert "replace assert with exception for `padding_side` arg in `PreTrainedTokenizerBase` `__init__`"" This reverts commit d5a10a7e2680539e5d9e98ae5d896c893d224b80. * fix typo * fix typos to render documentation * Revert "Revert "Revert "replace assert with exception for `padding_side` arg in `PreTrainedTokenizerBase` `__init__`""" This reverts commit 16cf58811943a08f43409a7c83eaa330686591d0. * format Co-authored-by:
LSinev <LSinev@users.noreply.github.com> Co-authored-by:
Nicolas Patry <patry.nicolas@protonmail.com>
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Ayush Chaurasia authored
# Add support for W&B hyperparameter sweep This PR: * allows using wandb for running hyperparameter search. * The runs are visualized on W&B sweeps dashboard * This supports runnning sweeps on parallel devices, all reporting to the same central dashboard. ### Usage **To run new a hyperparameter search:** ``` trainer.hyperparameter_search( backend="wandb", project="transformers_sweep", # name of the project n_trials=5, metric="eval/loss", # metric to be optimized, default 'eval/loss'. A warning is raised if the passed metric is not found ) ``` This outputs a sweep id. Eg. `my_project/sweep_id` **To run sweeps on parallel devices:** Just pass sweep id which you want to run parallel ``` trainer.hyperparameter_search( backend="wandb", sweep_id = "my_project/sweep_id" ) ``` -
Sylvain Gugger authored
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bugface authored
* fix error posted in issue #15448 Signed-off-by:
bugface <alexgre@ufl.edu> * clean up - remove commented line Signed-off-by:
bugface <alexgre@ufl.edu>
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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:
Lysandre Debut <lysandre@huggingface.co> Co-authored-by:
Suraj Patil <surajp815@gmail.com>
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Nicolas Patry authored
* Adding support for `microphone` streaming within pipeline. - Uses `ffmpeg` to get microphone data. - Makes sure alignment is made to `size_of_sample`. - Works by sending `{"raw": ..data.., "stride": (n, left, right), "partial": bool}` directly to the pipeline enabling to stream partial results and still get inference. - Let's `partial` information flow through the pipeline to enable caller to get it back and choose to display text or not. - The striding reconstitution is bound to have errors since CTC does not keep previous state. Currently most of the errors are we don't know if there's a space or not between two chunks. Since we have some left striding info, we could use that during decoding to choose what to do with those spaces and even extra letters maybe (if the stride is long enough, it's bound to cover at least a few symbols) Fixing tests. Protecting with `require_torch`. `raw_ctc` support for nicer demo. Post rebase fixes. Revamp to split raw_mic_data from it's live chunking. - Requires a refactor to make everything a bit cleaner. Automatic resampling. Small fix. Small fix. * Post rebase fix (need to let super handle more logic, reorder args.) * Update docstrings * Docstring format. * Remove print. * Prevent flow of `input_values`. * Fixing `stride` too. * Fixing the PR by removing `raw_ctc`. * Better docstrings. * Fixing init. * Update src/transformers/pipelines/audio_utils.py Co-authored-by:Anton Lozhkov <aglozhkov@gmail.com> * Update tests/test_pipelines_automatic_speech_recognition.py Co-authored-by:
Anton Lozhkov <aglozhkov@gmail.com> * Quality. Co-authored-by:
Anton Lozhkov <aglozhkov@gmail.com>
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Patrick von Platen authored
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NielsRogge authored
* Add torchvision's resize * Rename torch_resize to default_to_square * Apply suggestions from code review * Add support for default_to_square and tuple of length 1
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- 01 Feb, 2022 8 commits
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Sylvain Gugger authored
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Suraj Patil authored
* refactor bart tokenizers * doc * replace assert with ValueError
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Yih-Dar authored
* use mean instead of elementwise_mean * make style Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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SaulLu authored
fix the `tokenizer_config.json` file for the slow tokenizer when a fast version is available (#15319) * add new test * update test * remove `tokenizer_file` from `additional_files_names` in `tokenization_utils_base.py` * add `tokenizer_file` for the fast only tokenizer * change global variables layoutxml * remove `"tokenizer_file"` from DPR tokenizer's Global variables * remove `tokenizer_file` from herbert slow tokenizer init * `"tokenizer_file"` from LED tokenizer's Global variables * remove `tokenizer_file` from mbart slow tokenizer init * remove `tokenizer_file` from slow tokenizer template * adapt to versioning * adapt the `test_tokenizer_mismatch_warning` test * clean test * clarify `VOCAB_FILES_NAMES` in tokenization_utils_fast.py * Revert "remove `tokenizer_file` from mbart slow tokenizer init" This reverts commit 0dbb723fa9c7599d4640fe30b3647a74eb4a64e1. * Revert "`"tokenizer_file"` from LED tokenizer's Global variables" This reverts commit 5a3f879bdd651233f3d74a3d1146c34cde82b0c2. * Revert "remove `tokenizer_file` from herbert slow tokenizer init" This reverts commit f5e10007b7b0ec5345e015b9de7ffec72c5407fd. * Revert "remove `"tokenizer_file"` from DPR tokenizer's Global variables" This reverts commit da0895330bedfafc81ae3073470a9348c669f032. * set `tokenizer_file` in super `__init__` of mbart
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SaulLu authored
* replace assert with exception for `padding_side` arg in `PreTrainedTokenizerBase` `__init__` * add test * fix kwargs * reformat test * format * format * fix typo to render the documentation
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Suraj Patil authored
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Yih-Dar authored
Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Yih-Dar authored
* Fix TF Causal LM models' returned logits * Fix expected shape in the tests Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 31 Jan, 2022 8 commits
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Stas Bekman authored
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Sylvain Gugger authored
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peregilk authored
* Update modeling_wav2vec2.py With very tiny sound files (less than 0.1 seconds) the num_masked_span can be too long. The issue is described in issue #15366 and discussed with @patrickvonplaten. * correct errors with mask time indices * remove bogus file * make fix-copies Co-authored-by:Patrick von Platen <patrick.v.platen@gmail.com>
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Matt authored
* Fix spurious warning in TF TokenClassification models * Fixing one last spurious warning * Removing outdated warning altogether
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Suraj Patil authored
* refactor roberta tokenizer * refactor fast tokenizer * remove old comment
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Suraj Patil authored
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Yih-Dar authored
* fix tf led * fix * fix * Add test_pt_tf_model_equivalence_extra for TFLED * add a (temporary) test Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Patrick von Platen authored
* [Trainer] suppress warning for length-related columns * improve message * Update src/transformers/trainer.py
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