- 17 Feb, 2023 1 commit
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Younes Belkada authored
* v1 `BitsandbytesConfig` - add v1 - add tests - more user-friendly API - add docs * change to `BitsAndBytesConfig` * replace logic * changes * make fixup * quality * make fixup * fix doc * fix test * update toctree * fix slow test * add tips * add warning * change title * oops * Update docs/source/en/main_classes/quantization.mdx Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/utils/bitsandbytes.py Co-authored-by:
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- 16 Feb, 2023 11 commits
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Steven Anton authored
* * Properly register parameters in PerceiverMultimodalPreprocessor * Adapt PerceiverTextPreprocessor to work with PerceiverMultimodalPreprocessor * Change a few type hints * Fix formatting; incorrect return type * Return embeddings_wo_pos --------- Co-authored-by:Steven Anton <antonstv@amazon.com>
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Arthur authored
* add model like clip * update * text model ok * clap text works * some refactor - `CLAPVision` to `CLAPAudio` - refactor kwargs of audio modules * more refactor * more refactor * more refactor * correct fusion * more refactor * new modules * add basic processor * fixup * remove whisper copioed from * audio logits match * add doc * correct filters mel and add maxlength * style * few fixes * forward passes * fixup * fixup * some clean up * remove mels form the dictionnary * pad after the repeat * update padding when dsmaller * fix padding * style * use swin patch merging * use copied from swin * processor with any tokenizer * more copied from * some clean up * more refactor * fix mel when rand_trunc * style * remove unused imports * update processing * remove image processing tests * add testing fiel * fixmodeling issues * replace with `is_longer` * clap in serialization * more refactor * `make fixup` * make fixup * fix feature extractor * update test feature extractor * `make fixup` * clean up config * more clean up * more cleanup * update tests * refactor tests and inits * removeCLAP vision config * remove CLAP from image procssing auto and dummy vision objects * update inits * style * re order classes in modeling clap * Use roberta tokenizer as the other weights are not open sourced * small cleaup * remove tokenization CLAP * processor tokenizr is roberta * update feature extraction doc * remove vclap from model zero shot * update f_min and f_max to frequency_xx * some changes - fix modeling keys - add `is_longer` in the forward pass - make fixup * make fixup * consistent behavior ebtween rand_crop and fusion * add numpy resize and bilinear and documentation * move resizing to image utils * clean feature extraction * import resize from correct file * resize in image transforms * update * style * style * nit * remove unused arguments form the feature extractor * style * few fixes + make fixup * oops * fix more tests * add zero shot audio classification pipeline * update zeroshot classification pipeline * fixup * fix copies * all CI tests pass * make fixup + fix docs * fix docs * fix docs * update tests pip;eline * update zero shot pipeline * update feature extraction clap * update tokenization auto * use nested simplify * update pipeline tests * Apply suggestions from code review Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * split in two lines * fixes * refactor * clean up * add integration tests * update config docstring * style * update processor * fix processor test * fix feat extractor tests * update docs * Apply suggestions from code review Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * add config * changes * update conversion * 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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Sylvain Gugger authored
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Alissa authored
* Add resources to OPT * Add additional resources for OPT * Remove -{" "} after <PipelineTag pipeline="question-answering" /> * Change bitsnbytes to bitsandbytes * Revert formatting * Revert automatic format changes * Remove - sign after <PipelineTag pipeline="question-answering" /> -
Stas Bekman authored
Update modeling_bloom.py
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Connor Henderson authored
* refactor: Make direct_import util * edit direct import fn * add docstring * make import function specific to transformers only * edit doc string
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Jonatas Grosman authored
fix bug in reshaping labels
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dependabot[bot] authored
Bump werkzeug in /examples/research_projects/decision_transformer Bumps [werkzeug](https://github.com/pallets/werkzeug) from 2.0.3 to 2.2.3. - [Release notes](https://github.com/pallets/werkzeug/releases) - [Changelog](https://github.com/pallets/werkzeug/blob/main/CHANGES.rst) - [Commits](https://github.com/pallets/werkzeug/compare/2.0.3...2.2.3 ) --- updated-dependencies: - dependency-name: werkzeug dependency-type: direct:production ... Signed-off-by:
dependabot[bot] <support@github.com> Co-authored-by:
dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
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Xiaoyang Chen authored
* Update document of WhisperDecoderLayer * Update modeling_mbart.py * Update doc with utils/check_copies.py --fix_and_overwrite * Update modeling_xlm_prophetnet.py
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Jannis Vamvas authored
Move X-MOD models to facebook org
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regisss authored
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- 15 Feb, 2023 10 commits
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Sylvain Gugger authored
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Joao Gante authored
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Steven Liu authored
* first draft of model summary * restructure docs * finish first draft *
✨ minor reviews and edits * apply feedbacks * save important info, create new page for attention * add attention doc to toctree *✨ few more minor fixes -
Zineng Tang authored
* Update image_processing_tvlt.py * Update modeling_tvlt.py * Update * Update modeling_tvlt.py * Create tvlt.mdx * Update configuration_tvlt.py * Update modeling_tvlt.py * Update test_modeling_tvlt.py * Update modeling_tvlt.py * Update modeling_tvlt.py * Update image_processing_tvlt.py * Update feature_extraction_tvlt.py * Update tvlt models * Update tests * Update * Update * Update tests * Update README_ko.md * Update README_ja.md * Update README_ko.md * Update README_zh-hans.md * Update docs/source/en/model_doc/tvlt.mdx Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/model_doc/tvlt.mdx Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/__init__.py Co-authored-by:
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Bruno Alvisio authored
* Pass parent exception as context exception to provide clearer stack trace * Update src/transformers/tokenization_utils_base.py Co-authored-by:
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amyeroberts authored
Skipping more tests
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Susnato Dhar authored
* config and tokenization(fast too) changed and ErnieEncoder added * Slow Tokenization Added * Tokenizer(slow) is now working and Fast Tokenizer removed * Added Config code * Added Base Model and utils * ErnieMModel is now working * All added except tests * All tests passed except ErnieUIEM * All tests passed * all fixes done * all fixes done * fixed MAP * fixed check_code_quality * fixed Build PR Documentation issue * Added changes(comments) and also updated to the latest upstream/main * Added fixup * Added # Copied comments * Added fixup * Added more comments and some nits * Added fixup * Fixed README_hd.md * Added more fixes * ErnieMTokenizer (being sentencepiece) protected and other docs edited * Added code_quality fix * Fixed for * Added more fix * modified AZ * ernie-m tokenization test added! * attention mask part fixed(with 0->self.config.pad_token_id) * applied make fixup
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Bruno Alvisio authored
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amyeroberts authored
* Skip high memory tests * Skip high memory tests * Remove unused import
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Yih-Dar authored
* fix blip-2 ci * fix blip-2 ci --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 14 Feb, 2023 14 commits
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Matthew McDermott authored
* Fix typo in documentation. * Remove trailing words typo in documentation.
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Douglas Trajano authored
* Add _add_sm_patterns_to_gitignore * Add _is_world_process_zero() call and move patterns arg to constant * Update git status time.sleep * Apply make style
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Steven Liu authored
fix typo
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Benoit authored
Error (also in original) model, scaling only q matrix not qk.T dot product (qk.T/sqrt(dim_per_head)) (#21627) * Error in model, scaling only q matrix not qK.T dot product (qk.T/sqrt(dim_per_head)) As per Vaswani et al, 2017 p.4 Is torch.matmul(q, k.transpose(2, 3)) / math.sqrt(dim_per_head) not q / math.sqrt(dim_per_head) https://arxiv.org/pdf/1912.05372.pdf Error was in original FlauBERT repo and effectively scales queries but not values cf. https://github.com/getalp/Flaubert/pull/45/commits/6d176880ca3a1a8dfa2b76c97030bb51c5e917b8 * Update modeling_flaubert.py Update to https://github.com/huggingface/transformers/pull/21627 make fixup make repo_consistency * Update modeling_xlm.py * Update modeling_flaubert.py * Update modeling_xlm.py
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Matthew McDermott authored
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Vitali Petsiuk authored
* Remove redundant computations, comb variable names * Fix scores to cur_scores
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Sylvain Gugger authored
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Sylvain Gugger authored
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Sylvain Gugger authored
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Sylvain Gugger authored
FInal cleanup of TOKENIZER_FOR_DOC
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Sylvain Gugger authored
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Joao Gante authored
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Joao Gante authored
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Younes Belkada authored
* v1 * make fixup * add more methods
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- 13 Feb, 2023 4 commits
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Zachary Mueller authored
* Add in big model inference to issue template * Trigger * Untrigger * empty test commit
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Joao Gante authored
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Yih-Dar authored
* fix env issue * fix env issue --------- Co-authored-by: -
Steven Liu authored
clarify available pipelines
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