"tests/mluke/__init__.py" did not exist on "dd4df80f0b77c8f8e07e502298df0121cada9ce8"
- 11 Jan, 2024 2 commits
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Hankyeol Kyung authored
* [docs] Fix broken link Signed-off-by:
Hankyeol Kyung <kghnkl0103@gmail.com> * [docs] Use shorter domain Signed-off-by:
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jiqing-feng authored
* update version for cpu training * update docs for cpu training * fix readme * fix readme
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- 10 Jan, 2024 2 commits
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Francisco Kurucz authored
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Susnato Dhar authored
* update docs * added Tip
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- 08 Jan, 2024 2 commits
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NielsRogge authored
* Add first draft * Use appropriate gelu function * More improvements * More improvements * More improvements * Convert checkpoint * More improvements * Improve docs, remove print statements * More improvements * Add link * remove unused masking function * begin tokenizer * do_lower_case * debug * set split_special_tokens=True * Remove script * Fix style * Fix rebase * Use same design as CLIP * Add fast tokenizer * Add SiglipTokenizer to init, remove extra_ids * Improve conversion script * Use smaller inputs in conversion script * Update conversion script * More improvements * Add processor to conversion script * Add tests * Remove print statements * Add tokenizer tests * Fix more tests * More improvements related to weight initialization * More improvements * Make more tests pass * More improvements * More improvements * Add copied from * Add canonicalize_text * Enable fast tokenizer tests * More improvements * Fix most slow tokenizer tests * Address comments * Fix style * Remove script * Address some comments * Add copied from to tests * Add more copied from * Add more copied from * Add more copied from * Remove is_flax_available * More updates * Address comment * Remove SiglipTokenizerFast for now * Add caching * Remove umt5 test * Add canonicalize_text inside _tokenize, thanks Arthur * Fix image processor tests * Skip tests which are not applicable * Skip test_initialization * More improvements * Compare pixel values * Fix doc tests, add integration test * Add do_normalize * Remove causal mask and leverage ignore copy * Fix attention_mask * Fix remaining tests * Fix dummies * Rename temperature and bias * Address comments * Add copied from to tokenizer tests * Add SiglipVisionModel to auto mapping * Add copied from to image processor tests * Improve doc * Remove SiglipVisionModel from index * Address comments * Improve docs * Simplify config * Add first draft * Make it like mistral * More improvements * Fix attention_mask * Fix output_attentions * Add note in docs * Convert multilingual model * Convert large checkpoint * Convert more checkpoints * Add pipeline support, correct image_mean and image_std * Use padding=max_length by default * Make processor like llava * Add code snippet * Convert more checkpoints * Set keep_punctuation_string=None as in OpenCLIP * Set normalized=False for special tokens * Fix doc test * Update integration test * Add figure * Update organization * Happy new year * Use AutoModel everywhere --------- Co-authored-by:patil-suraj <surajp815@gmail.com>
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Rosie Wood authored
* add segmentation map processing to sam image processor * fixup * add tests * reshaped_input_size is shape before padding * update tests for size/shape outputs * fixup * add code snippet to docs * Update docs/source/en/model_doc/sam.md Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Add missing backticks * add `segmentation_maps` as arg for SamProcessor.__call__() --------- Co-authored-by:
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- 05 Jan, 2024 1 commit
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hugo-syn authored
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- 04 Jan, 2024 1 commit
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Kevin Herro authored
Switch to the conda-forge channel for transformer installation, as the huggingface channel does not offer the latest version. Fixes #28248
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- 03 Jan, 2024 2 commits
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Connor Henderson authored
* start - docs, SpeechT5 copy and rename * add relevant code from FastSpeech2 draft, have tests pass * make it an actual conformer, demo ex. * matching inference with original repo, includes debug code * refactor nn.Sequentials, start more desc. var names * more renaming * more renaming * vocoder scratchwork * matching vocoder outputs * hifigan vocoder conversion script * convert model script, rename some config vars * replace postnet with speecht5's implementation * passing common tests, file cleanup * expand testing, add output hidden states and attention * tokenizer + passing tokenizer tests * variety of updates and tests * g2p_en pckg setup * import structure edits * docstrings and cleanup * repo consistency * deps * small cleanup * forward signature param order * address comments except for masks and labels * address comments on attention_mask and labels * address second round of comments * remove old unneeded line * address comments part 1 * address comments pt 2 * rename auto mapping * fixes for failing tests * address comments part 3 (bart-like, train loss) * make style * pass config where possible * add forward method + tests to WithHifiGan model * make style * address arg passing and generate_speech comments * address Arthur comments * address Arthur comments pt2 * lint changes * Sanchit comment * add g2p-en to doctest deps * move up self.encoder * onnx compatible tensor method * fix is symbolic * fix paper url * move models to espnet org * make style * make fix-copies * update docstring * Arthur comments * update docstring w/ new updates * add model architecture images * header size * md wording update * make style
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lain authored
remove broken space
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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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- 22 Dec, 2023 3 commits
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Anindyadeep authored
* fix: minor enhancement and fix in bounding box visualization example The example that was trying to visualize the bounding box was not considering an edge case, where the bounding box can be un-normalized. So using the same set of code, we can not get results with a different dataset with un-normalized bounding box. This commit fixes that. * run make clean * add an additional note on the scenarios where the box viz code works --------- Co-authored-by:Anindyadeep <anindya@pop-os.localdomain>
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Yih-Dar authored
fix Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Younes Belkada authored
* add 4-bit serialization docs * up * up
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- 20 Dec, 2023 3 commits
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Joao Gante authored
Co-authored-by:Merve Noyan <merveenoyan@gmail.com>
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Steven Liu authored
* fsdp, debugging, gpu selection * fix hfoption * fix
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Sourab Mangrulkar authored
* fix fa2 * fix FA2 for popular models * improve warning and add Younes as co-author Co-Authored-By:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> * Update src/transformers/modeling_utils.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * fix the warning * Add Tip * typo fix * nit --------- Co-authored-by:
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- 19 Dec, 2023 1 commit
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Aaron Jimenez authored
Fix mistral link in mixtral.md
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- 18 Dec, 2023 4 commits
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Aaron Jimenez authored
Fix token link
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Steven Liu authored
* doc fix friday * deprecated objects * update not_doctested * update toctree
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Rockerz authored
Update semantic_segmentation.md
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Aeneas Stankowski authored
Update mixtral.md correct minor typo in overview
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- 15 Dec, 2023 3 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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Younes Belkada authored
* Update vipllava.md * Update modeling_vipllava.py
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- 14 Dec, 2023 1 commit
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Sanchit Gandhi authored
* [Seamless] Fix links in docs * apply suggestions from code review
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- 13 Dec, 2023 2 commits
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Aaron Jimenez authored
* Add glossary to es/_toctree.yml * Add glossary.md to es/ * A section translated * B and C section translated * Fix typo in en/glossary.md C section * D section translated | Add a extra line in en/glossary.md * E and F section translated | Fix typo in en/glossary.md * Fix words preentrenado * H and I section translated | Fix typo in en/glossary.md * L section translated * M and N section translated * P section translated * R section translated * S section translated * T section translated * U and Z section translated | Fix TensorParallel link in both files * Fix word
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Younes Belkada authored
* v1 * add-new-model-like * revert * fix forward and conversion script * revert * fix copies * fixup * fix * Update docs/source/en/index.md * Apply suggestions from code review * push * fix * fixes here and there * up * fixup and fix tests * Apply suggestions from code review * add docs * fixup * fixes * docstring * add docstring * fixup * docstring * fixup * nit * docs * more copies * fix copies * nit * update test
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- 12 Dec, 2023 1 commit
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Stas Bekman authored
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- 11 Dec, 2023 7 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:
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Steven Liu authored
streamline
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NielsRogge authored
Update formats
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Timon K盲ch authored
fix parameter count in readme
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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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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:
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NielsRogge authored
* More improvements * Improve variable names * Update READMEs, improve docs
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- 08 Dec, 2023 3 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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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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Tom Aarsen authored
* Draft version of new KV Caching This should allow Attention Sinks (https://github.com/tomaarsen/attention_sinks) / StreamingLLM (https://arxiv.org/abs/2309.17453) to be easily implemented in a third-party or in transformers directly * Address numerous PR suggestions 1. Move layer_idx from cache to ...Attention. Removes confusing set_layer_idx magic. 2. Always convert past_key_values to Cache instance at the start of ...Attention, removes all other isinstance calls. 3. Remove __bool__ and __getitem__ magic as they're confusing. 4. past_key_values.update(key, value, idx) now returns key, value. 5. Add use_legacy_cache flag, defaults to None, i.e. Falsey. This breaks generate for now, until 1) the cache is used is generate() or 2) use_legacy_cache is defaulted to True in generate() until we change it in another PR. 6. Separate key_cache and value_cache. Some work is still needed to see if the SinkCache can conveniently be implemented with just one update method. * Implement the SinkCache through backward+forward rotations * Integrate (Sink)Cache with Llama FA2 * Set use_legacy_cache=True as default, allows for test passes * Move from/to_legacy_cache to ...Model class * Undo unnecessary newline change * Remove copy utility from deprecated OpenLlama * Match import style * manual rebase with main * Cache class working with generate (#1) * Draft version of new KV Caching This should allow Attention Sinks (https://github.com/tomaarsen/attention_sinks) / StreamingLLM (https://arxiv.org/abs/2309.17453 ) to be easily implemented in a third-party or in transformers directly * Address numerous PR suggestions 1. Move layer_idx from cache to ...Attention. Removes confusing set_layer_idx magic. 2. Always convert past_key_values to Cache instance at the start of ...Attention, removes all other isinstance calls. 3. Remove __bool__ and __getitem__ magic as they're confusing. 4. past_key_values.update(key, value, idx) now returns key, value. 5. Add use_legacy_cache flag, defaults to None, i.e. Falsey. This breaks generate for now, until 1) the cache is used is generate() or 2) use_legacy_cache is defaulted to True in generate() until we change it in another PR. 6. Separate key_cache and value_cache. Some work is still needed to see if the SinkCache can conveniently be implemented with just one update method. * Integrate (Sink)Cache with Llama FA2 * Move from/to_legacy_cache to ...Model class * Undo unnecessary newline change * Match import style * working generate * Add tests; Simplify code; Apply changes to Mistral and Persimmon * fix rebase mess * a few more manual fixes * last manual fix * propagate changes to phi * upgrade test * add use_legacy_cache docstring; beef up tests * reintroduce unwanted deletes --------- Co-authored-by:
Tom Aarsen <Cubiegamedev@gmail.com> * move import * add default to model_kwargs.get('use_legacy_cache') * correct failing test * Apply suggestions from code review Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * apply PR suggestions * fix failing test * Apply suggestions from code review Co-authored-by:
Tom Aarsen <37621491+tomaarsen@users.noreply.github.com> * PR comments * tmp commit * add docstrings * more tests, more docstrings, add to docs * derp * tmp commit * tmp dbg * more dbg * fix beam search bug * cache can be a list of tuples in some models * fix group beam search * all but sinkcache integration tests * fix sink cache and add hard integration test * now also compatible with input_embeds input * PR comments * add Cache support to Phi+FA2 * make fixup --------- Co-authored-by:
Joao Gante <joao@huggingface.co> Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> Co-authored-by:
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- 07 Dec, 2023 1 commit
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Dina Suehiro Jones authored
Updates the distributed CPU training documentation to add instructions for running on a Kubernetes cluster (#27780) * Updates the Distributed CPU documentation to add a Kubernetes example * Small edits * Fixing link * Adding missing new lines * Minor edits * Update to include Dockerfile snippet * Add comment about tuning env var * Updates based on review comments
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