- 02 Jun, 2023 1 commit
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Patrick von Platen authored
* add fine-tuned with adapter layer * Add set_target_lang to tokenizer * Implement load adapter * add tests * make style * Apply suggestions from code review * Update src/transformers/models/wav2vec2/tokenization_wav2vec2.py * make fix-copies * Apply suggestions from code review * make fix-copies * make style again * mkae style again * fix doc string * Update tests/models/wav2vec2/test_tokenization_wav2vec2.py * Apply suggestions from code review * fix * Correct wav2vec2 adapter * mkae style * Update src/transformers/models/wav2vec2/modeling_wav2vec2.py Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * add more nice docs * finish * finish * Apply suggestions from code review Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Apply suggestions from code review Co-authored-by:
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- 01 Jun, 2023 2 commits
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Marc Sun authored
* Modify device map behavior for 4/8 bits model * Remove device_map arg for training 4/8 bit model * Remove index Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Add Exceptions * Modify comment Co-authored-by:
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Brendon Soong authored
* #23675 Registering Malay language * removing untranslated files * some translate * more updates to toctree * inc index * additional translations for toctree * translations of more sections * removing untranslated file * translated index.mdx to malay
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- 31 May, 2023 2 commits
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Denisa Roberts authored
* Add tf code for efficientformer * Fix return dict bug - return last hidden state after last stage * Fix corresponding return dict bug * Override test tol * Change default values of training to False * Set training to default False X3 * Rm axis from ln * Set init in dense projection * Rm debug stuff * Make style; all tests pass. * Modify year to 2023 * Fix attention biases codes * Update the shape list logic * Add a batch norm eps config * Remove extract comments in test files * Add conditional attn and hidden states return for serving output * Change channel dim checking logic * Add exception for withteacher model in training mode * Revert layer count for now * Add layer count for conditional layer naming * Transpose for conv happens only in main layer * Make tests smaller * Make style * Update doc * Rm from_pt * Change to actual expect image class label * Remove stray print in tests * Update image processor test * Remove the old serving output logic * Make style * Make style * Complete test
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Sohyun Sim authored
* docs: ko: pad_truncation.mdx * feat: manual draft * fix: resolve suggestions Co-authored-by:
Hyeonseo Yun <0525yhs@gmail.com> --------- Co-authored-by:
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- 30 May, 2023 5 commits
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peridotml authored
* initial flyte callback * lint * logs should still be saved to Flyte even if pandas isn't install (unlikely) * cr - flyte team * add docs for Flytecallback * fix doc string - cr sgugger * Apply suggestions from code review cr - sgugger fix doc strings Co-authored-by:
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Hyeonseo Yun authored
* docs: ko: troubleshooting.mdx * revised: fix _toctree.yml #23112 * feat: nmt draft `troubleshooting.mdx` * fix: manual edits `troubleshooting.mdx` * revised: resolve suggestions troubleshooting.mdx Co-authored-by:
Sohyun Sim <96299403+sim-so@users.noreply.github.com> --------- Co-authored-by:
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Kihoon Son authored
* task/video_classification translated Co-Authored-By:
Hyeonseo Yun <0525_hhgus@naver.com> Co-Authored-By:
Gabriel Yang <gabrielwithhappy@gmail.com> Co-Authored-By:
Nayeon Han <nayeon2.han@gmail.com> Co-Authored-By:
Wonhyeong Seo <wonhseo@kakao.com> Co-Authored-By:
Jungnerd <46880056+jungnerd@users.noreply.github.com> * Update docs/source/ko/tasks/video_classification.mdx Co-authored-by:
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Kihoon Son authored
* docs: ko: fast_tokenizer.mdx content - translated Co-Authored-By:
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Eli Simhayev authored
* ran `transformers-cli add-new-model-like` * added `AutoformerLayernorm` and `AutoformerSeriesDecomposition` * added `decomposition_layer` in `init` and `moving_avg` to config * added `AutoformerAutoCorrelation` to encoder & decoder * removed caninical self attention `AutoformerAttention` * added arguments in config and model tester. Init works!
馃榿 * WIP autoformer attention with autocorrlation * fixed `attn_weights` size * wip time_delay_agg_training * fixing sizes and debug time_delay_agg_training * aggregation in training works!馃榿 * `top_k_delays` -> `top_k_delays_index` and added `contiguous()` * wip time_delay_agg_inference * finish time_delay_agg_inference馃槑 * added resize to autocorrelation * bug fix: added the length of the output signal to `irfft` * `attention_mask = None` in the decoder * fixed test: changed attention expected size, `test_attention_outputs` works! * removed unnecessary code * apply AutoformerLayernorm in final norm in enc & dec * added series decomposition to the encoder * added series decomp to decoder, with inputs * added trend todos * added autoformer to README * added to index * added autoformer.mdx * remove scaling and init attention_mask in the decoder * make style * fix copies * make fix-copies * inital fix-copies * fix from https://github.com/huggingface/transformers/pull/22076 * make style * fix class names * added trend * added d_model and projection layers * added `trend_projection` source, and decomp layer init * added trend & seasonal init for decoder input * AutoformerModel cannot be copied as it has the decomp layer too * encoder can be copied from time series transformer * fixed generation and made distrb. out more robust * use context window to calculate decomposition * use the context_window for decomposition * use output_params helper * clean up AutoformerAttention * subsequences_length off by 1 * make fix copies * fix test * added init for nn.Conv1d * fix IGNORE_NON_TESTED * added model_doc * fix ruff * ignore tests * remove dup * fix SPECIAL_CASES_TO_ALLOW * do not copy due to conv1d weight init * remove unused imports * added short summary * added label_length and made the model non-autoregressive * added params docs * better doc for `factor` * fix tests * renamed `moving_avg` to `moving_average` * renamed `factor` to `autocorrelation_factor` * make style * Update src/transformers/models/autoformer/configuration_autoformer.py Co-authored-by:NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/autoformer/configuration_autoformer.py Co-authored-by:
Kashif Rasul <kashif.rasul@gmail.com> Co-authored-by:
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- 26 May, 2023 2 commits
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amitportnoy authored
class_weights tensor should follow model's device
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Arthur authored
small doc nit
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- 24 May, 2023 4 commits
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Sylvain Gugger authored
* Enable prompts on the Hub * Update src/transformers/tools/prompts.py Co-authored-by:
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Jungnerd authored
fix: delete duplicate sentence
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Maria Khalusova authored
* doc refocused on using optimum, tflite * minor updates to fix checks * Apply suggestions from code review Co-authored-by:
regisss <15324346+regisss@users.noreply.github.com> * TFLite to separate page, added links * Removed the onnx list builder * make style * Update docs/source/en/serialization.mdx Co-authored-by:
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Tim Dettmers authored
* Added lion and paged optimizers and made original tests pass. * Added tests for paged and lion optimizers. * Added and fixed optimizer tests. * Style and quality checks. * Initial draft. Some tests fail. * Fixed dtype bug. * Fixed bug caused by torch_dtype='auto'. * All test green for 8-bit and 4-bit layers. * Added fix for fp32 layer norms and bf16 compute in LLaMA. * Initial draft. Some tests fail. * Fixed dtype bug. * Fixed bug caused by torch_dtype='auto'. * All test green for 8-bit and 4-bit layers. * Added lion and paged optimizers and made original tests pass. * Added tests for paged and lion optimizers. * Added and fixed optimizer tests. * Style and quality checks. * Fixing issues for PR #23479. * Added fix for fp32 layer norms and bf16 compute in LLaMA. * Reverted variable name change. * Initial draft. Some tests fail. * Fixed dtype bug. * Fixed bug caused by torch_dtype='auto'. * All test green for 8-bit and 4-bit layers. * Added lion and paged optimizers and made original tests pass. * Added tests for paged and lion optimizers. * Added and fixed optimizer tests. * Style and quality checks. * Added missing tests. * Fixup changes. * Added fixup changes. * Missed some variables to rename. * revert trainer tests * revert test trainer * another revert * fix tests and safety checkers * protect import * simplify a bit * Update src/transformers/trainer.py * few fixes * add warning * replace with `load_in_kbit = load_in_4bit or load_in_8bit` * fix test * fix tests * this time fix tests * safety checker * add docs * revert torch_dtype * Apply suggestions from code review 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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- 23 May, 2023 1 commit
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Nayeon Han authored
docs: ko: `tasks/monocular_depth_estimation` Co-authored-by:
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- 22 May, 2023 1 commit
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- 19 May, 2023 2 commits
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Matt authored
* First commit * Add auto-translation with GPT-4 * make fixup * Add a functional layernorm for TF * Add all the auxiliary imports etc. * Add the extra processor and tests * rebase to main * Add all the needed fixes to the GPT code * make fixup * Make convolutions channels-last so they run on CPU * make fixup * Fix final issues * Fix other models affected by test change * Clarify comment on the sparse_prompt_embeddings check * Refactor functional_layernorm, use shape_list in place of .shape in some places * Remove deprecated torch-alike code * Update tests/models/sam/test_modeling_tf_sam.py Co-authored-by:
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Julien Chaumond authored
* README: Fix affiliation for MEGA * Fix quality --------- Co-authored-by:Lysandre <lysandre@huggingface.co>
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- 18 May, 2023 3 commits
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Sylvain Gugger authored
* Add local agent * Document LocalAgent
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Joao Gante authored
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Nayeon Han authored
docs: ko: zero_shot_object_detection
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- 16 May, 2023 3 commits
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Joao Gante authored
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Sohyun Sim authored
* docs: ko: task/asr.mdx * feat: manual draft * fix: resolve suggestions Co-authored-by:
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Yih-Dar authored
* fix * fix * fix test + add more docs --------- Co-authored-by:
ydshieh <ydshieh@users.noreply.github.com> Co-authored-by:
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- 15 May, 2023 1 commit
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richardachen authored
Update graphormer.mdx Typo suggestion
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- 12 May, 2023 1 commit
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Shehan Munasinghe authored
* Commit the automatically generated code using add-new-model-like * Update description at swiftformer.mdx file * remove autogenerated code for MaskedImageModeling * update weight conversion scripts * Update modeling_swiftformer.py * update configuration_swiftformer.py * Update test_modeling_swiftformer.py * update modeling code - remove einops dependency * Update _toctree.yml * update modeling code - remove copied from comments * update docs * Revert "update docs" This reverts commit c2e05e2998fe2cd6eaee8b8cc31aca5222bac9fb. * update docs * remove unused reference SwiftFormerImageProcessor * update dependency_versions_table.py * update swiftformer.mdx * update swiftformer.mdx * change model output type - no attentions * update model org name * Fix typo * fix copies * Update tests/models/swiftformer/test_modeling_swiftformer.py Co-authored-by:
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- 11 May, 2023 5 commits
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Freddy Boulton authored
Fix typo
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Sylvain Gugger authored
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Lysandre Debut authored
* Agents extras * Add to docs
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Mishig authored
Make `huggingface-tools` to [`huggingface-tools`](https://huggingface.co/huggingface-tools)
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Mishig authored
Wrong parantheses
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- 10 May, 2023 6 commits
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Yih-Dar authored
* Revert "Revert "[Doctests] Refactor doctests + add CI" (#23245)" This reverts commit 69ee4624 . * try not expose HfDocTestParser * move into testing_utils.py * remove pytest install --------- Co-authored-by:
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Sylvain Gugger authored
* Try on a couple of blocks to see * Build the doc please * Build the doc please * Build the doc please * add more * Finish with all * Style
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Sylvain Gugger authored
* refine documentation for Tools * + one bugfix
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Patrick von Platen authored
* Improve docs * correct tip format * Apply suggestions from code review * Apply suggestions from code review * Apply suggestions from code review * Correct grammer & spelling * Improve code style * make style ruff * make style final
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Maria Khalusova authored
trainer parameters fixed
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Sylvain Gugger authored
* Remove nestedness in tool config * Really do it * Use remote tools descriptions * Work * Clean up eval * Changes * Tools * Tools * tool * Fix everything * Use last result/assign for evaluation * Prompt * Remove hardcoded selection * Evaluation for chat agents * correct some spelling * Small fixes * Change summarization model (#23172) * Fix link displayed * Update description of the tool * Fixes in chat prompt * Custom tools, custom prompt * Tool clean up * save_pretrained and push_to_hub for tool * Fix init * Tests * Fix tests * Tool save/from_hub/push_to_hub and tool->load_tool * Clean push_to_hub and add app file * Custom inference API for endpoints too * Clean up * old remote tool and new remote tool * Make a requirements * return_code adds tool creation * Avoid redundancy between global variables * Remote tools can be loaded * Tests * Text summarization tests * Quality * Properly mark tests * Test the python interpreter * And the CI shall be green. * fix loading of additional tools * Work on RemoteTool and fix tests * General clean up * Guard imports * Fix tools * docs: Fix broken link in 'How to add a model...' (#23216) fix link * Get default endpoint from the Hub * Add guide * Simplify tool config * Docs * Some fixes * Docs * Docs * Docs * Fix code returned by agent * Try this * Match args with signature in remote tool * Should fix python interpreter for Python 3.8 * Fix push_to_hub for tools * Other fixes to push_to_hub * Add API doc page * Docs * Docs * Custom tools * Pin tensorflow-probability (#23220) * Pin tensorflow-probability * [all-test] * [all-test] Fix syntax for bash * PoC for some chaining API * Text to speech * J'ai pris des libert茅s * Rename * Basic python interpreter * Add agents * Quality * Add translation tool * temp * GenQA + LID + S2T * Quality + word missing in translation * Add open assistance, support f-strings in evaluate * captioning + s2t fixes * Style * Refactor descriptions and remove chain * Support errors and rename OpenAssistantAgent * Add setup * Deal with typos + example of inference API * Some rename + README * Fixes * Update prompt * Unwanted change * Make sure everyone has a default * One prompt to rule them all. * SD * Description * Clean up remote tools * More remote tools * Add option to return code and update doc * Image segmentation * ControlNet * Gradio demo * Diffusers protection * Lib protection * ControlNet description * Cleanup * Style * Remove accelerate and try to be reproducible * No randomness * Male Basic optional in token * Clean description * Better prompts * Fix args eval in interpreter * Add tool wrapper * Tool on the Hub * Style post-rebase * Big refactor of descriptions, batch generation and evaluation for agents * Make problems easier - interface to debug * More problems, add python primitives * Back to one prompt * Remove dict for translation * Be consistent * Add prompts * New version of the agent * Evaluate new agents * New endpoints agents * Make all tools a dict variable * Typo * Add problems * Add to big prompt * Harmonize * Add tools * New evaluation * Add more tools * Build prompt with tools descriptions * Tools on the Hub * Let's chat! * Cleanup * Temporary bs4 safeguard * Cache agents and clean up * Blank init * Fix evaluation for agents * New format for tools on the Hub * Add method to reset state * Remove nestedness in tool config * Really do it * Use remote tools descriptions * Work * Clean up eval * Changes * Tools * Tools * tool * Fix everything * Use last result/assign for evaluation * Prompt * Remove hardcoded selection * Evaluation for chat agents * correct some spelling * Small fixes * Change summarization model (#23172) * Fix link displayed * Update description of the tool * Fixes in chat prompt * Custom tools, custom prompt * Tool clean up * save_pretrained and push_to_hub for tool * Fix init * Tests * Fix tests * Tool save/from_hub/push_to_hub and tool->load_tool * Clean push_to_hub and add app file * Custom inference API for endpoints too * Clean up * old remote tool and new remote tool * Make a requirements * return_code adds tool creation * Avoid redundancy between global variables * Remote tools can be loaded * Tests * Text summarization tests * Quality * Properly mark tests * Test the python interpreter * And the CI shall be green. * Work on RemoteTool and fix tests * fix loading of additional tools * General clean up * Guard imports * Fix tools * Get default endpoint from the Hub * Simplify tool config * Add guide * Docs * Some fixes * Docs * Docs * Fix code returned by agent * Try this * Docs * Match args with signature in remote tool * Should fix python interpreter for Python 3.8 * Fix push_to_hub for tools * Other fixes to push_to_hub * Add API doc page * Fixes * Doc fixes * Docs * Fix audio * Custom tools * Audio fix * Improve custom tools docstring * Docstrings * Trigger CI * Mode docstrings * More docstrings * Improve custom tools * Fix for remote tools * Style * Fix repo consistency * Quality * Tip * Cleanup on doc * Cleanup toc * Add disclaimer for starcoder vs openai * Remove disclaimer * Small fixed in the prompts * 4.29 * Update src/transformers/tools/agents.py Co-authored-by:
Lysandre Debut <lysandre.debut@reseau.eseo.fr> * Complete documentation * Small fixes * Agent evaluation * Note about gradio-tools & LC * Clean up agents and prompt * Apply suggestions from code review Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * Apply suggestions from code review Co-authored-by:
Lysandre <hi@lyand.re> Co-authored-by:
Philipp Schmid <32632186+philschmid@users.noreply.github.com> Co-authored-by:
Connor Henderson <connor.henderson@talkiatry.com> Co-authored-by:
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- 09 May, 2023 1 commit
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Sylvain Gugger authored
Revert "[Doctests] Refactor doctests + add CI (#22987)" This reverts commit 627f4479.
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