"...lm-evaluation-harness.git" did not exist on "c2168869c6d5adc8ad129195dee7d9e0195bbf0a"
- 20 Mar, 2024 1 commit
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Joao Gante authored
* make fix-copies * some tests fixed * tests fixed
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- 19 Mar, 2024 9 commits
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Yih-Dar authored
* fix * update --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Joao Gante authored
* partial 4d masks * Apply suggestions from code review Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> --------- Co-authored-by:
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Raushan Turganbay authored
* clean-up tests * refine comments * fix musicgen tests * make style * remove slow decorator from a test * more clean-up * fix other failing tests
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StevenBucaille authored
* Added SuperPoint docs * Added tests * Removed commented part * Commit to create and fix add_superpoint branch with a new branch * Fixed dummy_pt_objects * Committed missing files * Fixed README.md * Apply suggestions from code review Fixed small changes Co-authored-by:
steven <steven.bucaillle@gmail.com> Co-authored-by:
Steven Bucaille <steven.bucaille@buawei.com>
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Arthur authored
* use user_defined_symbols * fixup * nit * add a very robust test * make sure all models are tested with the `pretrained_tokenizer_to_test` * should we make sure we test all of them? * merge * remove the id * fix test * update * ousies * oups * fixup * fix copies check * remove `pretrained_tokenizer_to_test`
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Arthur authored
* gelu_pytorch_tanh * Force config.hidden_act to be approx gelu * Gemma bug fixes * force_use_exact_gelu * Update configuration_gemma.py * Update modeling_gemma.py * update * update for simpler handling * nit * nit * fixpup * update * also update the jax modeling! * add `"gelu_pytorch_tanh": partial(nn.gelu, approximate=True),` * fixup * fix order * act vs act_fn --------- Co-authored-by:Daniel Han <danielhanchen@gmail.com>
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Fanli Lin authored
* add more tests * remove 2 tests * add more tests
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Younes Belkada authored
* add galore v1 * add import * add tests and doc * fix doctest * forward contrib credits from discussions * forward contrib credits from discussions * Apply suggestions from code review Co-authored-by:
Zach Mueller <muellerzr@gmail.com> * fix failing tests' * switch to `optim_target_modules` and clarify docs * more clarification * enhance lookup logic * update a test to add peak memory * add regex, all-linear and single string support * add layer-wise optimization through DummyOptimizers and LRSchedulers * forward contrib credits from discussions and original idea * add a section about DDP not supported in layerwise * Update src/transformers/trainer.py Co-authored-by:
Matthew Douglas <38992547+matthewdouglas@users.noreply.github.com> * Update src/transformers/training_args.py Co-authored-by:
hiyouga <hiyouga@users.noreply.github.com> Co-authored-by:
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Motoki Wu authored
* Use logging.warning instead of warnings.warn in pipeline.__call__ * Update src/transformers/pipelines/base.py
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- 18 Mar, 2024 5 commits
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Abubakar Abid authored
* Update pipeline_tutorial.md to include gradio * Update pipeline_tutorial.md * Update docs/source/en/pipeline_tutorial.md Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/pipeline_tutorial.md Co-authored-by:
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Younes Belkada authored
* make `unexpected_keys` optional * push * Apply suggestions from code review Co-authored-by:
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Yih-Dar authored
* update * update * update * check --------- Co-authored-by: -
Yoach Lacombe authored
* first modeling code * make repository * still WIP * update model * add tests * add latest change * clean docstrings and copied from * update docstrings md and readme * correct chroma function * correct copied from and remove unreleated test * add doc to toctree * correct imports * add convert script to notdoctested * Add suggestion from Sanchit Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * correct get_uncoditional_inputs docstrings * modify README according to SANCHIT feedback * add chroma to audio utils * clean librosa and torchaudio hard dependencies * fix FE * refactor audio decoder -> audio encoder for consistency with previous musicgen * refactor conditional -> encoder * modify sampling rate logics * modify license at the beginning * refactor all_self_attns->all_attentions * remove ignore copy from causallm generate * add copied from for from_sub_models * fix make copies * add warning if audio is truncated * add copied from where relevant * remove artefact * fix convert script * fix torchaudio and FE * modify chroma method according to feedback-> better naming * refactor input_values->input_features * refactor input_values->input_features and fix import fe * add input_features to docstrigs * correct inputs_embeds logics * remove dtype conversion * refactor _prepare_conditional_hidden_states_kwargs_for_generation ->_prepare_encoder_hidden_states_kwargs_for_generation * change warning for chroma length * Update src/transformers/models/musicgen_melody/convert_musicgen_melody_transformers.py Co-authored-by:
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Joao Gante authored
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- 15 Mar, 2024 15 commits
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Aaron Jimenez authored
* add attention to es/ and edit es/_toctree.yml * translate attention.md * fix transformers * fix transformers
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Yoach Lacombe authored
* fix speech_to_test generation tests * Add details to comment * Update tests/models/speech_to_text/test_modeling_speech_to_text.py Co-authored-by:
Yih-Dar <2521628+ydshieh@users.noreply.github.com> Co-authored-by:
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Joao Gante authored
* replace breaks by a loop condition * Update src/transformers/generation/utils.py Co-authored-by:
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Marc Sun authored
* start integration * fix * add and debug tests * update tests * make pytorch serialization works * compatible with device_map and offload * fix tests * make style * add ref * guard against safetensors * add float8 and style * fix is_serializable * Fix shard_checkpoint compatibility with quanto * more tests * docs * adjust memory * better * style * pass tests * Update src/transformers/modeling_utils.py Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> * add is_safe_serialization instead * Update src/transformers/quantizers/quantizer_quanto.py Co-authored-by:
David Corvoysier <david.corvoysier@gmail.com> * better comment * Update tests/quantization/quanto_integration/test_quanto.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * pass weights_only_kwarg instead * fix shard_checkpoint loading * simplify update_missing_keys * Update tests/quantization/quanto_integration/test_quanto.py Co-authored-by:
Younes Belkada <younesbelkada@gmail.com>
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Quentin Lhoest authored
* Update run_glue.py * Update run_glue.py * Update run_glue_no_trainer.py
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guangwu authored
Signed-off-by:guoguangwu <guoguangwug@gmail.com>
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Yih-Dar authored
update Co-authored-by: -
Fanli Lin authored
[tests] ensure device-required software is available in the testing environment before testing (#29477) * gix * fix style * add warning * revert * no newline * revert * revert * add CUDA as well
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Maciej Torhan authored
Removed static_real_features from AutoformerForPrediction example code Signed-off-by:Maciej Torhan <maciek97x@gmail.com>
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Fanli Lin authored
* gix * fix style * remove equivalent tests * add back for image_processor * remove again
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Saurabh Dash authored
* Cohere Model Release (#1) Cohere Model Release * Remove unnecessary files and code (#2) Some cleanup * Delete cohere-model directory (#3) * Make Fix (#5) * Pr fixes (#6) * fixes for pr * pr fixes for the format * pr fixes for the format * src/transformers/models/auto/tokenization_auto.py * Tokenizer test (#8) * tokenizer test * format fix * Adding Docs and other minor changes (#7) * Add modeling tests (#9) * Smol Fix (#11) * tokenization tests are fixed * format fixes * fix pr doc tests * fix pr doc tests * fix pr doc tests * fix pr style check * small changes in cohere.md * FIX: Address final comments for transformers integration (#13) * fix modeling final nits and add proper test file * for now leave empty tests * add integration test * push new test * fix modeling cohere (#14) * Update chat templates to use the new API (#15) --------- Co-authored-by:
ahmetustun <ahmetustun89@gmail.com> Co-authored-by:
Matt <Rocketknight1@users.noreply.github.com>
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Joao Gante authored
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Joao Gante authored
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bhack authored
* Extend import utils to cover "editable" torch versions * Re-add type hint * Remove whitespaces * Double quote strings * Update comment Co-authored-by:
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- 14 Mar, 2024 8 commits
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Madhur Prajapati authored
* docs:inaccurate_code_example * Inaccurate code example within inline code-documentation
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Matt authored
* Allow apply_chat_template to pass kwargs to the template * Fix priority for template_kwargs * Fix docstring * style fix * Add the option for the model to have a dict of templates * Error message cleanup * Add test for chat template dicts * Simplify the chat template dict test and apply it to all tokenizers in self.get_tokenizers() * Save chat template dicts as lists with fixed key names * Add test for serialization/reloading * Add require_jinja just to be safe, even though I don't think we use it
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Joao Gante authored
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Yih-Dar authored
* update --------- Co-authored-by: -
Yih-Dar authored
* add arg --------- Co-authored-by: -
Shubham Krishna authored
Manually call sync step
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Shubham Krishna authored
* Fix for saving ad apter weights when using PEFT * Change supported-classes to PushToHubMixin
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robinverduijn authored
Add newly added models to all README files. Also fix one relative path in README_ru.md.
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- 13 Mar, 2024 2 commits
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Aaron Jimenez authored
* remove ChatML link from en/ * remove ChatML link in ja/ * remove ChatML link in zh/
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Nate Cibik authored
* Added pytests for pvt-v2, all passed * Added pvt_v2 to docs/source/end/model_doc * Ran fix-copies and fixup. All checks passed * Added additional ReLU for linear attention mode * pvt_v2_b2_linear converted and working * copied models/pvt to adapt to pvt_v2 * First commit of pvt_v2 * PvT-v2 now works in AutoModel * Reverted batch eval changes for PR * Expanded type support for Pvt-v2 config * Fixed config docstring. Added channels property * Fixed model names in tests * Fixed config backbone compat. Added additional type support for image size in config * Fixed config backbone compat * Allowed for batching of eval metrics * copied models/pvt to adapt to pvt_v2 * First commit of pvt_v2 * Set key and value layers to use separate linear modules. Fixed pruning function * Set AvgPool to 7 * Fixed issue in init * PvT-v2 now works in AutoModel * Successful conversion of pretrained weights for PVT-v2 * Successful conversion of pretrained weights for PVT-v2 models * Added pytests for pvt-v2, all passed * Ran fix-copies and fixup. All checks passed * Added additional ReLU for linear attention mode * pvt_v2_b2_linear converted and working * Allowed for batching of eval metrics * copied models/pvt to adapt to pvt_v2 * First commit of pvt_v2 * Set key and value layers to use separate linear modules. Fixed pruning function * Set AvgPool to 7 * Fixed issue in init * PvT-v2 now works in AutoModel * Successful conversion of pretrained weights for PVT-v2 * Successful conversion of pretrained weights for PVT-v2 models * Added pytests for pvt-v2, all passed * Ran fix-copies and fixup. All checks passed * Added additional ReLU for linear attention mode * pvt_v2_b2_linear converted and working * Reverted batch eval changes for PR * Updated index.md * Expanded type support for Pvt-v2 config * Fixed config docstring. Added channels property * Fixed model names in tests * Fixed config backbone compat * Ran fix-copies * Fixed PvtV2Backbone tests * Added TFRegNet to OBJECTS_TO_IGNORE in check_docstrings.py * Fixed backbone stuff and fixed tests: all passing * Ran make fixup * Made modifications for code checks * Remove ONNX config from configuration_pvt_v2.py Co-authored-by:
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