- 07 Jun, 2024 1 commit
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Matt authored
* Remove ConversationalPipeline and Conversation object, as they have been deprecated for some time and are due for removal * Update not-doctested.txt * Fix JA and ZH docs * Fix JA and ZH docs some more * Fix JA and ZH docs some more
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- 14 May, 2024 1 commit
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Raushan Turganbay authored
* add watermarking processor * remove the other hashing (context width=1 always) * make style * Update src/transformers/generation/logits_process.py Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> * Update src/transformers/generation/logits_process.py Co-authored-by:
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- 07 May, 2024 1 commit
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Aymeric Roucher authored
* Create CodeAgent and ReactAgent * Fix formatting errors * Update documentation for agents * Add custom errors, improve logging * Support variable usage in ReactAgent * add messages * Add message passing format * Create React Code Agent * Update * Refactoring * Fix errors * Improve python interpreter * Only non-tensor inputs should be sent to device * Calculator tool slight refactor * Improve docstrings * Refactor * Fix tests * Fix more tests * Fix even more tests * Fix tests by replacing output and input types * Fix operand type issue * two small fixes * EM TTS * Fix agent running type errors * Change text to speech tests to allow changed outputs * Update doc with new agent types * Improve code interpreter * If max iterations reached, provide a real answer instead of an error * Add edge case in interpreter * Add safe imports to the interpreter * Interpreter tweaks: tuples and listcomp * Make style * Make quality * Add dictcomp to interpreter * Rename ReactJSONAgent to ReactJsonAgent * Misc changes * ToolCollection * Rename agent's logger to self.logger * Add while loops to interpreter * Update doc with new tools. still need to mention collections * Add collections to the doc * Small fixes on logs and interpretor * Fix toolbox return type * Docs + fixup * Skip doctests * Correct prompts with improved examples and formatting * Update prompt * Remove outdated docs * Change agent to accept Toolbox object for tools * Remove calculator tool * Propagate removal of calculator in doc * Fix 2 failing workflows * Simplify additional argument passing * AgentType audio * Minor changes: function name, types * Remove calculator tests * Fix test * Fix torch requirement * Fix final answer tests * Style fixes * Fix tests * Update docstrings with calculator removal * Small type hint fixes * Update tests/agents/test_translation.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update tests/agents/test_python_interpreter.py Co-authored-by:
Cyril Kondratenko <kkn1993@gmail.com> Co-authored-by:
Lysandre <lysandre@huggingface.co> Co-authored-by:
Lysandre <lysandre.debut@reseau.eseo.fr> Co-authored-by:
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- 02 May, 2024 1 commit
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mobicham authored
* update HQQ transformers integration * push import_utils.py * add force_hooks check in modeling_utils.py * fix | with Optional * force bias as param * check bias is Tensor * force forward for multi-gpu * review fixes pass * remove torch grad() * if any key in linear_tags fix * add cpu/disk check * isinstance return * add multigpu test + refactor tests * clean hqq_utils imports in hqq.py * clean hqq_utils imports in quantizer_hqq.py * delete hqq_utils.py * Delete src/transformers/utils/hqq_utils.py * ruff init * remove torch.float16 from __init__ in test * refactor test * isinstance -> type in quantizer_hqq.py * cpu/disk device_map check in quantizer_hqq.py * remove type(module) nn.linear check in quantizer_hqq.py * add BaseQuantizeConfig import inside HqqConfig init * remove hqq import in hqq.py * remove accelerate import from test_hqq.py * quant config.py doc update * add hqqconfig to main_classes doc * make style * __init__ fix * ruff __init__ * skip_modules list * hqqconfig format fix * hqqconfig doc fix * hqqconfig doc fix * hqqconfig doc fix * hqqconfig doc fix * hqqconfig doc fix * hqqconfig doc fix * hqqconfig doc fix * hqqconfig doc fix * hqqconfig doc fix * test_hqq.py remove mistral comment * remove self.using_multi_gpu is False * torch_dtype default val set and logger.info * hqq.py isinstance fix * remove torch=None * torch_device test_hqq * rename test_hqq * MODEL_ID in test_hqq * quantizer_hqq setattr fix * quantizer_hqq typo fix * imports quantizer_hqq.py * isinstance quantizer_hqq * hqq_layer.bias reformat quantizer_hqq * Step 2 as comment in quantizer_hqq * prepare_for_hqq_linear() comment * keep_in_fp32_modules fix * HqqHfQuantizer reformat * quantization.md hqqconfig * quantization.md model example reformat * quantization.md # space * quantization.md space }) * quantization.md space }) * quantization_config fix doc Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * axis value check in quantization_config * format * dynamic config explanation * quant config method in quantization.md * remove shard-level progress * .cuda fix modeling_utils * test_hqq fixes * make fix-copies --------- Co-authored-by:
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- 25 Apr, 2024 1 commit
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Alexander Visheratin authored
* Added WSD scheduler. * Added tests. * Fixed errors. * Fix formatting. * CI fixes.
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- 22 Apr, 2024 1 commit
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zhong zhuang authored
* [FEAT]: EETQ quantizer support * Update quantization.md * Update docs/source/en/main_classes/quantization.md Co-authored-by:
Marc Sun <57196510+SunMarc@users.noreply.github.com> * Update docs/source/en/quantization.md Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> * add copyright * Update quantization.md * Update docs/source/en/quantization.md Co-authored-by:
Marc Sun <marc@huggingface.co> Co-authored-by:
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- 02 Apr, 2024 1 commit
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Steven Liu authored
* update * feedback
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- 15 Mar, 2024 1 commit
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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:
David Corvoysier <david.corvoysier@gmail.com> * better comment * Update tests/quantization/quanto_integration/test_quanto.py Co-authored-by:
Younes Belkada <younesbelkada@gmail.com>
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- 12 Mar, 2024 1 commit
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Furkan Akkurt authored
Update quantization.md
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- 06 Mar, 2024 1 commit
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Joao Gante authored
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- 05 Mar, 2024 1 commit
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Joao Gante authored
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- 16 Feb, 2024 1 commit
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Lysandre Debut authored
* Script & Manual edition * Update
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- 14 Feb, 2024 2 commits
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amyeroberts authored
[`Doc`] Fix docbuilder - make `BackboneMixin` and `BackboneConfigMixin` importable from `utils`. (#29002) * Trigger doc build * Test removing references * Importable from utils * Trigger another run on a new commit for testing
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Andrei Panferov authored
* aqlm init * calibration and dtypes * docs * Readme update * is_aqlm_available * Simpler link in docs * Test TODO real reference * init _import_structure fix * AqlmConfig autodoc * integration aqlm * integrations in tests * docstring fix * legacy typing * Less typings * More kernels information * Performance -> Accuracy * correct tests * remoced multi-gpu test * Update docs/source/en/quantization.md Co-authored-by:
Andrei Panferov <blacksamorez@yandex-team.ru> Co-authored-by:
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- 05 Feb, 2024 1 commit
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amyeroberts authored
* Draft pipeline * Fixup * Fix docstrings * Update doctest * Update pipeline_model_mapping * Update docstring * Update tests * Update src/transformers/pipelines/image_feature_extraction.py Co-authored-by:
Omar Sanseviero <osanseviero@gmail.com> * Fix docstrings - review comments * Remove pipeline mapping for composite vision models * Add to pipeline tests * Remove for flava (multimodal) * safe pil import * Add requirements for pipeline run * Account for super slow efficientnet * Review comments * Fix tests * Swap order of kwargs * Use build_pipeline_init_args * Add back FE pipeline for Vilt * Include image_processor_kwargs in docstring * Mark test as flaky * Update TODO * Update tests/pipelines/test_pipelines_image_feature_extraction.py Co-authored-by:
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- 02 Feb, 2024 1 commit
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Steven Liu authored
* tidy * fix path
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- 01 Feb, 2024 1 commit
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Steven Liu authored
* backbones * fix path * fix paths * fix code snippet * fix links
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- 25 Jan, 2024 1 commit
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Merve Noyan authored
Update backbones.md
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- 24 Jan, 2024 1 commit
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Steven Liu authored
* config * optim * pre deploy * deploy * save weights, memory, troubleshoot, non-Trainer * done
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- 12 Jan, 2024 1 commit
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Joao Gante authored
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- 02 Jan, 2024 1 commit
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Dean Wyatte authored
update docs around mixing hf scheduler with deepspeed optimizer
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- 20 Dec, 2023 1 commit
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Steven Liu authored
* fsdp, debugging, gpu selection * fix hfoption * fix
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- 18 Dec, 2023 1 commit
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Steven Liu authored
* doc fix friday * deprecated objects * update not_doctested * update toctree
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- 15 Dec, 2023 2 commits
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Steven Liu authored
* mps docs * toctree
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Steven Liu authored
* first draft * add to toctree * edits * feedback
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- 11 Dec, 2023 1 commit
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Merve Noyan authored
* Initial commit for AutoBackbone & Backbone * Added timm and clarified out_indices * Swapped the example to out_indices * fix toctree * Update autoclass_tutorial.md * Update backbones.md * Update autoclass_tutorial.md * Add dummy torch input instead * Add dummy torch input * Update autoclass_tutorial.md * Update backbones.md * minor fix * Update docs/source/en/main_classes/backbones.md Co-authored-by:
Maria Khalusova <kafooster@gmail.com> * Update docs/source/en/autoclass_tutorial.md Co-authored-by:
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- 28 Nov, 2023 1 commit
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Steven Liu authored
* first draft * benchmarks * feedback
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- 27 Nov, 2023 1 commit
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Peter Pan authored
* docs: replace torch.distributed.run by torchrun `transformers` now officially support pytorch >= 1.10. The entrypoint `torchrun`` is present from 1.10 onwards. Signed-off-by:
Peter Pan <Peter.Pan@daocloud.io> * Update src/transformers/trainer.py with @ArthurZucker's suggestion Co-authored-by:
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- 24 Nov, 2023 2 commits
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fxmarty authored
* reflect RoCm support in the documentation * Update docs/source/en/main_classes/trainer.md Co-authored-by:
Lysandre Debut <hi@lysand.re> * fix review comments * use ROCm instead of RoCm --------- Co-authored-by:
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Sourab Mangrulkar authored
* add code changes 1. Refactor FSDP 2. Add `--save_only_model` option: When checkpointing, whether to only save the model, or also the optimizer, scheduler & rng state. 3. Bump up the minimum `accelerate` version to `0.21.0` * quality * fix quality? * Revert "fix quality?" This reverts commit 149330a6abc078827be274db84c8a2d26a76eba1. * fix fsdp doc strings * fix quality * Update src/transformers/training_args.py Co-authored-by:
Zach Mueller <muellerzr@gmail.com> * please fix the quality issue
馃槄 * Apply suggestions from code review Co-authored-by:Benjamin Bossan <BenjaminBossan@users.noreply.github.com> * address comment * simplify conditional check as per the comment * update documentation --------- Co-authored-by:
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- 20 Nov, 2023 1 commit
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Peter Pan authored
Signed-off-by:
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- 13 Nov, 2023 1 commit
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adismort14 authored
Update pipelines.md
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- 09 Nov, 2023 1 commit
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Dave Berenbaum authored
* dvclive trainer callback * style fixes * dvclive link fixes
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- 06 Nov, 2023 2 commits
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Maria Khalusova authored
* fixed links with 404 * make style
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Arthur authored
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- 01 Nov, 2023 2 commits
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Marc Sun authored
* add_ xllamav2 arg * add test * style * add check * add doc * replace by use_exllama_v2 * fix tests * fix doc * style * better condition * fix logic * add deprecate msg * deprecate exllama * remove disable_exllama from the linter * remove * fix warning * Revert the commits deprecating exllama * deprecate disable_exllama for use_exllama * fix * fix loading attribute * better handling of args * remove disable_exllama from init and linter * Apply suggestions from code review Co-authored-by:
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Younes Belkada authored
* working v1 * oops * Update src/transformers/modeling_utils.py Co-authored-by:
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- 31 Oct, 2023 2 commits
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Younes Belkada authored
* add v1 neftune * use `unwrap_model` instead * add test + docs * Apply suggestions from code review Co-authored-by:
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Vivek Khandelwal authored
* Add support for loading GPTQ models on CPU Right now, we can only load the GPTQ Quantized model on the CUDA device. The attribute `gptq_supports_cpu` checks if the current auto_gptq version is the one which has the cpu support for the model or not. The larger variants of the model are hard to load/run/trace on the GPU and that's the rationale behind adding this attribute. Signed-Off By: Vivek Khandelwal <vivek@nod-labs.com> * Update quantization.md * Update quantization.md * Update quantization.md
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- 30 Oct, 2023 1 commit
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Rockerz authored
* add * add * add * Add deepspeed.md * Add * add * Update docs/source/ja/main_classes/callback.md Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/main_classes/output.md Co-authored-by:
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