- 16 Nov, 2023 1 commit
-
-
Arthur authored
* try to stylify using ruff * might need to remove these changes? * use ruf format andruff check * use isinstance instead of type comparision * use # fmt: skip * use # fmt: skip * nits * soem styling changes * update ci job * nits isinstance * more files update * nits * more nits * small nits * check and format * revert wrong changes * actually use formatter instead of checker * nits * well docbuilder is overwriting this commit * revert notebook changes * try to nuke docbuilder * style * fix feature exrtaction test * remve `indent-width = 4` * fixup * more nits * update the ruff version that we use * style * nuke docbuilder styling * leve the print for detected changes * nits * Remove file I/O Co-authored-by:
charliermarsh <charlie.r.marsh@gmail.com> * style * nits * revert notebook changes * Add # fmt skip when possible * Add # fmt skip when possible * Fix * More ` # fmt: skip` usage * More ` # fmt: skip` usage * More ` # fmt: skip` usage * NIts * more fixes * fix tapas * Another way to skip * Recommended way * Fix two more fiels * Remove asynch Remove asynch --------- Co-authored-by:
-
- 15 Nov, 2023 1 commit
-
-
Yuki-Imajuku authored
* update _toctree.yml & add albert-autoformer * Fixed typo in docs/source/ja/model_doc/audio-spectrogram-transformer.md Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Delete duplicated sentence docs/source/ja/model_doc/autoformer.md Co-authored-by:
-
- 14 Nov, 2023 3 commits
-
-
Matt authored
* Update and reorder docs for chat templates * Fix Mistral docstring * Add section link and small fixes * Remove unneeded line in Mistral example * Add comment on saving memory * Fix generation prompts linl * Fix code block languages
-
amyeroberts authored
The model was merged before final review and approval. This reverts commit 2ac5b932.
-
Younes Belkada authored
* `modules_to_save` support for peft integration * Update docs/source/en/peft.md Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * slightly elaborate test --------- Co-authored-by:
-
- 13 Nov, 2023 3 commits
-
-
Gift Sinthong authored
* Initial commit of PatchTST model classes Co-authored-by:
Phanwadee Sinthong <phsinthong@gmail.com> Co-authored-by:
Nam Nguyen <namctin@gmail.com> Co-authored-by:
Vijay Ekambaram <vijaykr.e@gmail.com> Co-authored-by:
Ngoc Diep Do <55230119+diepi@users.noreply.github.com> Co-authored-by:
Wesley Gifford <79663411+wgifford@users.noreply.github.com> * Add PatchTSTForPretraining * update to include classification Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * better var names * rename PatchTSTTranspose * fix argument names and docs string * remove compute_num_patches and unused class * remove assert * renamed to PatchTSTMasking * use num_labels for classification * use num_labels * use default num_labels from super class * move model_type after docstring * renamed PatchTSTForMaskPretraining * bs -> batch_size * more review fixes * use hidden_state * rename encoder layer and block class * remove commented seed_number * edit docstring * Add docstring * formatting * use past_observed_mask * doc suggestion * make fix-copies * use Args: * add docstring * add docstring * change some variable names and add PatchTST before some class names * formatting * fix argument types * fix tests * change x variable to patch_input * format * formatting * fix-copies * Update tests/models/patchtst/test_modeling_patchtst.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * move loss to forward * Update src/transformers/models/patchtst/modeling_patchtst.py Co-authored-by:
Gift Sinthong <gift.sinthong@ibm.com> Co-authored-by:
Wesley M. Gifford <wmgifford@us.ibm.com> Co-authored-by:
nnguyen <nnguyen@us.ibm.com> Co-authored-by:
Ngoc Diep Do <diiepy@gmail.com> Co-authored-by:
Kashif Rasul <kashif.rasul@gmail.com> Co-authored-by:
-
adismort14 authored
Update pipelines.md
-
Arthur authored
* don't use `use_auth_token`internally * let's use token everywhere * fixup
-
- 10 Nov, 2023 3 commits
-
-
Susnato Dhar authored
* only dir not even init * init * tokenizer removed and reference of codegen added * modeling file updated a lot remaining app_rotary_emb * conversion script done * conversion script fixed, a lot of factoring done and most tests pass * added token_clf and extractive_QA_head * integration tests pass * flash attn tests pass! * config done * more docs in modeling file * some style fix * style and others * doc test error fix * more doc fix * some attention fixes * most fixes * style and other fixes * docs fix and config * doc fix * some comments * conversion script updated * conversion script updated * Revert "conversion script updated" This reverts commit e92378c54084ec0747041b113083d1746ecb6c7f. * final comments * add Phi to language_modeling.md * edit phi.md file * rebase and fix * removed phi-1.5 example * changed model_type from 'phi'->'mixformer-sequential' * small change * small change * revert \small change * changed mixformer-sequential->phi * small change * added phi-1.5 example instead of phi-1 * doc test might pass now * rebase and small change * added the dropout layer * more fixes * modified .md file * very very small doc change
-
Susnato Dhar authored
* init commit * attention arch done except rotary emb * rotary emb done * text encoder working * outputs matching * arch first pass done * make commands done, tests and docs remaining * all tests passed, only docs remaining * docs done * doc-builder fix * convert script removed(not relevant) * minor comments done * added ckpt conversion script * tokenizer done * very minor fix of index.md 2 * mostly make fixup related * all done except fe and rotary emb * very small change * removed unidecode dependency * style changes * tokenizer removed require_backends * added require_inflect to tokenizer tests * removed VOCAB_FILES in tokenizer test * inflect dependency removed * added rotary pos emb cache and simplified the apply method * style * little doc change * more comments * feature extractor added * added processor * auto-regressive config added * added CLVPConditioningEncoder * comments done except the test one * weights added successfull(NOT tested) * tokenizer fix with numbers * generate outputs matching * almost tests passing Integ tests not written * Integ tests added * major CUDA error fixed * docs done * rebase and multiple fixes * fixed rebase overwrites * generate code simplified and tests for AutoRegressive model added * minor changes * refectored gpt2 code in clvp file * weights done and all code refactored * mostly done except the fast_tokenizer * doc test fix * config file's doc fixes * more config fix * more comments * tokenizer comments mostly done * modeling file mostly refactored and can load modules * ClvpEncoder tested * ClvpDecoder, ClvpModel and ClvpForCausalLM tested * integration and all tests passed * more fixes * docs almost done * ckpt conversion refectored * style and some failing tests fix * comments * temporary output fix but test_assisted_decoding_matches_greedy_search test fails * majority changes done * use_cache outputs same now! Along with the asisted_greedy_decoding test fix * more comments * more comments * prepare_inputs_for_generation fixed and _prepare_model_inputs added * style fix * clvp.md change * moved clvpconditionalencoder norms * add model to new index * added tokenizer input_ids_with_special_tokens * small fix * config mostly done * added config-tester and changed conversion script * more comments * comments * style fix * some comments * tokenizer changed back to prev state * small commnets * added output hidden states for the main model * style fix * comments * small change * revert small change * . * Update clvp.md * Update test_modeling_clvp.py * :) * some minor change * new fixes * remove to_dict from FE
-
Yoach Lacombe authored
* update Bark FA2 docs * update benchmark section * Update bark.md * Apply suggestions from code review Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * rephrase --------- Co-authored-by:
-
- 09 Nov, 2023 1 commit
-
-
Dave Berenbaum authored
* dvclive trainer callback * style fixes * dvclive link fixes
-
- 08 Nov, 2023 1 commit
-
-
Sanchit Gandhi authored
* [MusicGen] Add stereo model * safe serialization * Update src/transformers/models/musicgen/modeling_musicgen.py * split over 2 lines * fix slow tests on cuda
-
- 07 Nov, 2023 3 commits
-
-
Arthur authored
* draft * updates * full conversion taken from `https://gist.github.com/xenova/a452a6474428de0182b17605a98631ee` * psuh * nits * updates * more nits * Add co author Co-authored-by:
Joshua Lochner <admin@xenova.com> * fixup * cleanup * styling * add proper path * update * nits * don't push the exit * clean * update whisper doc * don't error out if tiktoken is not here * make sure we are BC with conversion * nit * Update docs/source/en/model_doc/whisper.md Co-authored-by:
-
Susnato Dhar authored
* added flash attention for gpt-neo * small change Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * readme updated * . * changes * removed padding_mask * Update src/transformers/models/gpt_neo/modeling_gpt_neo.py Co-authored-by:
-
Xabier de Zuazo authored
* Fix error in convert_openai_to_hf.py: "_download() missing 1 required positional argument: root" * Fix error in convert_openai_to_hf.py: "TypeError: byte indices must be integers or slices, not str" * Fix decoder_attention_heads value in convert_openai_to_hf.py. Correct the assignment for `decoder_attention_heads` in the conversion script for the Whisper model. * Black reformat convert_openai_to_hf.py file. * Fix Whisper model configuration defaults (for Tiny). - Correct encoder/decoder layers and attention heads count. - Update model width (`d_model`) to 384. * Add docstring to the convert_openai_to_hf.py script with a doctest * Add shebang and +x permission to the convert_openai_to_hf.py * convert_openai_to_hf.py: reuse the read model_bytes in the _download() function * Move convert_openai_to_hf.py doctest example to whisper.md * whisper.md: Add an inference example to the Conversion section. * whisper.md: remove `model.config.forced_decoder_ids` from examples (deprecated) * whisper.md: Remove "## Format Conversion" section; not used by users * whisper.md: Use librispeech_asr_dummy dataset and load_dataset()
-
- 06 Nov, 2023 3 commits
-
-
Maria Khalusova authored
* fixed links with 404 * make style
-
Akshay Chintalapati authored
I'm adding accelerate as one of the libraries to install because otherwise when running the Trainer, the model errorr out with the error. ImportError: Using the `Trainer` with `PyTorch` requires `accelerate>=0.20.1`: Please run `pip install transformers[torch]` or `pip install accelerate -U` Further context: 1. I've tried this across different environments so I believe that the environment is not the issue. 2. I had the latest transformers library version running. 3. Typically even after install accelerate and import it, it wouldn't resolve the issue until I restart the notebook and try again.
-
Arthur authored
-
- 03 Nov, 2023 4 commits
-
-
Susnato Dhar authored
* flash attention added for DistilBert * fixes * removed padding_masks * Update modeling_distilbert.py * Update test_modeling_distilbert.py * style fix
-
Maria Khalusova authored
* first batch of structure improvements for model_docs * second batch of structure improvements for model_docs * more structure improvements for model_docs * more structure improvements for model_docs * structure improvements for cv model_docs * more structural refactoring * addressed feedback about image processors
-
Younes Belkada authored
Update sam.md
-
Maria Khalusova authored
doc update
-
- 01 Nov, 2023 4 commits
-
-
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:
-
Andi Powers Holmes authored
* Add type annotations to TFConvNextDropPath * Use tf.debugging.assert_equal for TFConvNextEmbeddings shape check * Add TensorFlow implementation of ConvNeXTV2 * check_docstrings: add TFConvNextV2Model to exclusions TFConvNextV2Model and TFConvNextV2ForImageClassification have docstrings which are equivalent to their PyTorch cousins, but a parsing issue prevents them from passing the test. Adding exclusions for these two classes as discussed in #25558.
-
Patrick von Platen authored
* finish * add tests * fix all tests * [Assistant Decoding] Add test * fix more * better * finish * Apply suggestions from code review Co-authored-by:
-
Younes Belkada authored
* working v1 * oops * Update src/transformers/modeling_utils.py Co-authored-by:
Marc Sun <57196510+SunMarc@users.noreply.github.com> * fixup * oops * push * more changes * add docs * some fixes * fix copies * add v1 doc * added installation guide * relax constraints * revert * attempt llm-awq * oops * oops * fixup * raise error when incorrect cuda compute capability * nit * add instructions for llm-awq * fixup * fix copies * fixup and docs * change * few changes + add demo * add v1 tests * add autoawq in dockerfile * finalize * Update tests/quantization/autoawq/test_awq.py * fix test * fix * fix issue * Update src/transformers/integrations/awq.py Co-authored-by:
-
- 31 Oct, 2023 5 commits
-
-
Steven Liu authored
* first draft * remove non-existent paths * edits * feedback * feedback and optimum * Apply suggestions from code review Co-authored-by:
regisss <15324346+regisss@users.noreply.github.com> Co-authored-by:
Ella Charlaix <80481427+echarlaix@users.noreply.github.com> * redirect to correct doc * _redirects.yml --------- Co-authored-by:
-
Younes Belkada authored
* add v1 neftune * use `unwrap_model` instead * add test + docs * Apply suggestions from code review Co-authored-by:
Zach Mueller <muellerzr@gmail.com> * more details * fixup * Update docs/source/en/main_classes/trainer.md Co-authored-by:
-
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
-
Susnato Dhar authored
* added flash attention of gpt_bigcode * changed docs * Update src/transformers/models/gpt_bigcode/modeling_gpt_bigcode.py * add FA-2 docs * oops * Update docs/source/en/perf_infer_gpu_one.md Last Nit Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by:
younesbelkada <younesbelkada@gmail.com> Co-authored-by:
-
Clifford Ressel authored
-
- 30 Oct, 2023 3 commits
-
-
NielsRogge authored
Update docs
-
Rockerz authored
* add * add * add * Add deepspeed.md * Add * add * Update docs/source/ja/main_classes/callback.md Co-authored-by:
-
Yih-Dar authored
* Add KOSMOS-2 model * update * update * update * address review comment - 001 * address review comment - 002 * address review comment - 003 * style * Apply suggestions from code review Co-authored-by:
ydshieh <ydshieh@users.noreply.github.com> Co-authored-by:
-
- 27 Oct, 2023 1 commit
-
-
- 26 Oct, 2023 1 commit
-
-
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
-
- 25 Oct, 2023 1 commit
-
-
Younes Belkada authored
* add `MaskGenerationPipeline` in docs * Update __init__.py * fix repo consistency and clarify docstring * add on check docstirngs * actually we do have a tf sam * oops
-
- 24 Oct, 2023 2 commits
-
-
Maria Khalusova authored
* initial edits * improvements for clarity and flow * improvements for clarity and flow, removed the repetead section * removed two docs that had no content * Revert "removed two docs that had no content" This reverts commit e98fa2fa0d8e171163f15cb8a04bdada1053543b. * Apply suggestions from code review Co-authored-by:
-
Alex McKinney authored
* adds agnostic decorators and availability fns * renaming decorators and fixing imports * updating some representative example tests bloom, opt, and reformer for now * wip device agnostic functions * lru cache to device checking functions * adds `TRANSFORMERS_TEST_DEVICE_SPEC` if present, imports the target file and updates device to function mappings * comments `TRANSFORMERS_TEST_DEVICE_SPEC` code * extra checks on device name * `make style; make quality` * updates default functions for agnostic calls * applies suggestions from review * adds `is_torch_available` guard * Add spec file to docs, rename function dispatch names to backend_* * add backend import to docs example for spec file * change instances of to * Move register backend to before device check as per @statelesshz changes * make style * make opt test require fp16 to run --------- Co-authored-by:
arsalanu <arsalanu@graphcore.ai> Co-authored-by:
arsalanu <hzji210@gmail.com>
-
