- 12 Dec, 2023 7 commits
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Dave Berenbaum authored
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Stas Bekman authored
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fxmarty authored
* fix sdpa with non-contiguous inputs for gpt_bigcode * fix other archs * add currently comment * format
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Matt authored
* Improve the error printed when loading an unrecognized architecture * Improve the error printed when loading an unrecognized architecture * Raise a ValueError instead because KeyError prints weirdly * make fixup
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saswatmeher authored
Update the link for vision encoder decoder doc used by FlaxVisionEncoderDecoderModel link.
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Arthur authored
* fix loss computation * compute on GPU if possible
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Joao Gante authored
Co-authored-by:Arthur <48595927+ArthurZucker@users.noreply.github.com>
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- 11 Dec, 2023 26 commits
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Anthony Susevski authored
* fixed typos (issue 27919) * Update docs/source/en/tasks/knowledge_distillation_for_image_classification.md Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> --------- Co-authored-by:
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dancingpipi authored
* Support PeftModel signature inspect * Use get_base_model() to get the base model --------- Co-authored-by:shujunhua1 <shujunhua1@jd.com>
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Steven Liu authored
streamline
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NielsRogge authored
Update formats
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Younes Belkada authored
up
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Adam Louly authored
* fix no sequence length models error * block size check --------- Co-authored-by: Adam Louly <adamlouly@microsoft.com@orttrainingdev9.d32nl1ml4oruzj4qz3bqlggovf.px.internal.cloudapp.net>
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Ashish Tawari authored
Update modeling_timesformer.py Fixing typo to correct the stochastic depth decay rule
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Chenhao Xu authored
fix bug: cost matrix is infeasible
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rjenc29 authored
* fix a typo and add an illustrative test * appease black * reduce code duplication and add Annotion type back with a pending deprecation warning * remove unused code * change warning type * black formatting fix * change enum deprecation approach to support 3.8 and earlier * add stacklevel * fix black issue * fix ruff issues * fix ruff issues * move tests to own mixin * include yolos * fix black formatting issue * fix black formatting issue * use logger instead of warnings and include target version for deprecation
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Ella Charlaix authored
* add deepspeed scheduled test for amd * fix image * add dockerfile * add comment * enable tests * trigger * remove trigger for this branch * trigger * change runner env to trigger the docker build image test * use new docker image * remove test suffix from docker image tag * replace test docker image with original image * push new image * Trigger * add back amd tests * fix typo * add amd tests back * fix * comment until docker image build scheduled test fix * remove deprecated deepspeed build option * upgrade torch * update docker & make tests pass * Update docker/transformers-pytorch-deepspeed-amd-gpu/Dockerfile * fix * tmp disable test * precompile deepspeed to avoid timeout during tests * fix comment * trigger deepspeed tests with new image * comment tests * trigger * add sklearn dependency to fix slow tests * enable back other tests * final update --------- Co-authored-by:
Felix Marty <felix@hf.co> Co-authored-by:
F茅lix Marty <9808326+fxmarty@users.noreply.github.com> Co-authored-by:
ydshieh <ydshieh@users.noreply.github.com>
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Yih-Dar authored
fix Co-authored-by: -
Peter G枚tz authored
"text input must of type" -> "text input must be of type"
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Timon K盲ch authored
fix parameter count in readme
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NielsRogge authored
* Update import message * Update message
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Zach Mueller authored
* Fix test for multi-GPU * WIth CPU handle
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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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YQ authored
* use logger.warning_once to avoid massive outputs when training/finetuning longformer * update more
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vijaye12 authored
* docstring corrections * style make --------- Co-authored-by:vijaye12 <vijaye12@in.ibm.com>
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Arthur authored
* up * up * test * logits ok * up * up * few fixes * conversion script * up * nits * nits * update * nuke * more updates * nites * fix many issues * nit * scatter * nit * nuke megablocks * nits * fix conversion script * nit * remove * nits * nit * update * oupsssss * change * nits device * nits * fixup * update * merge * add copied from * fix the copy mentions * update tests * more fixes * nits * conversion script * add parts of the readme * Update tests/models/mixtral/test_modeling_mixtral.py Co-authored-by:
Lysandre Debut <hi@lysand.re> * Update docs/source/en/model_doc/mixtral.md Co-authored-by:
younesbelkada <younesbelkada@gmail.com> Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by:
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Arthur authored
* Skip nn.Module.reset_parameters * Actually skip * Check quality * Maybe change all inits * Fix init issues: only modify public functions * Add a small test for now * Style * test updates * style * nice tes * style * make it even faster * one more second * remove fx icompatible * Update tests/test_modeling_common.py Co-authored-by:
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fxmarty authored
fix sdpa dispatch
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NielsRogge authored
* More improvements * Improve variable names * Update READMEs, improve docs
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Yoach Lacombe authored
change dtype of some integration tests
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Yih-Dar authored
fix Co-authored-by: -
NielsRogge authored
Fix test
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Sangbum Daniel Choi authored
* [DETA] fix freeze/unfreeze function * Update src/transformers/models/deta/modeling_deta.py Co-authored-by:
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- 09 Dec, 2023 3 commits
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Brendan Fahy authored
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Justin Yu authored
* fix tune integration for ray 2.7+ Signed-off-by:
Justin Yu <justinvyu@anyscale.com> * add version check for ray tune backend availability Signed-off-by:
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Joshua Lochner authored
* [CLAP] Replace hard-coded batch size to enable dynamic ONNX export * Add back docstring
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- 08 Dec, 2023 4 commits
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fxmarty authored
* add sdpa * wip * cleaning * add ref * yet more cleaning * and more :) * wip llama * working llama * add output_attentions=True support * bigcode sdpa support * fixes * gpt-bigcode support, require torch>=2.1.1 * add falcon support * fix conflicts falcon * style * fix attention_mask definition * remove output_attentions from attnmaskconverter * support whisper without removing any Copied from statement * fix mbart default to eager renaming * fix typo in falcon * fix is_causal in SDPA * check is_flash_attn_2_available in the models init as well in case the model is not initialized through from_pretrained * add warnings when falling back on the manual implementation * precise doc * wip replace _flash_attn_enabled by config.attn_implementation * fix typo * add tests * style * add a copy.deepcopy on the config in from_pretrained, as we do not want to modify it inplace * obey to config.attn_implementation if a config is passed in from_pretrained * fix is_torch_sdpa_available when torch is not installed * remove dead code * Update src/transformers/modeling_attn_mask_utils.py Co-authored-by:
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Joao Gante authored
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zhc7 authored
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Aaron Jimenez authored
* Add pad_truncation to es/_toctree.yml * Add pad_truncation.md to es/ * Translated first two paragraph * Translated paddig argument section * Translated truncation argument section * Translated final paragraphs * Translated table * Fixed typo in the table of en/pad_truncation.md * Run make style | Fix a word * Add Padding (relleno) y el Truncation (truncamiento) in the final paragraphs * Fix relleno and truncamiento words
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