"tests/vscode:/vscode.git/clone" did not exist on "487505ff45b1bd134a210853e1339cb205ba77b3"
- 04 Dec, 2023 1 commit
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Rockerz authored
* Create asr.md * Create audio_classification.md * Create document_question_answering.md * Update document_question_answering.md * add * add * ggg * gg * add masked_language_modeling.md * add monocular_depth estimation * new * dd * add * add * cl * add * Add Traslation.md * hgf * Added docs to Toctree file * Update docs/source/ja/tasks/asr.md Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/tasks/asr.md Co-authored-by:
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- 10 Nov, 2023 1 commit
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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
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- 14 Sep, 2023 1 commit
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Jinho Park authored
* add Bros boilerplate * copy and pasted modeling_bros.py from official Bros repo * update copyright of bros files * copy tokenization_bros.py from official repo and update import path * copy tokenization_bros_fast.py from official repo and update import path * copy configuration_bros.py from official repo and update import path * remove trailing period in copyright line * copy and paste bros/__init__.py from official repo * save formatting * remove unused unnecessary pe_type argument - using only crel type * resolve import issue * remove unused model classes * remove unnecessary tests * remove unused classes * fix original code's bug - layer_module's argument order * clean up modeling auto * add bbox to prepare_config_and_inputs * set temporary value to hidden_size (32 is too low because of the of the Bros' positional embedding) * remove decoder test, update create_and_check* input arguemnts * add missing variable to model tests * do make fixup * update bros.mdx * add boilerate plate for no_head inference test * update BROS_PRETRAINED_MODEL_ARCHIVE_LIST (add naver-clova-ocr prefix) * add prepare_bros_batch_inputs function * update modeling_common to add bbox inputs in Bros Model Test * remove unnecessary model inference * add test case * add model_doc * add test case for token_classification * apply fixup * update modeling code * update BrosForTokenClassification loss calculation logic * revert logits preprocessing logic to make sure logits have original shape * - update class name * - add BrosSpadeOutput - update BrosConfig arguments * add boilerate plate for no_head inference test * add prepare_bros_batch_inputs function * add test case * add test case for token_classification * update modeling code * update BrosForTokenClassification loss calculation logic * revert logits preprocessing logic to make sure logits have original shape * apply masking on the fly * add BrosSpadeForTokenLinking * update class name put docstring to the beginning of the file * separate the logits calculation logic and loss calculation logic * update logic for loss calculation so that logits shape doesn't change when return * update typo * update prepare_config_and_inputs * update dummy node initialization * update last_hidden_states getting logic to consider when return_dict is False * update box first token mask param * bugfix: remove random attention mask generation * update keys to ignore on load missing * run make style and quality * apply make style and quality of other codes * update box_first_token_mask to bool type * update index.md * apply make style and quality * apply make fix-copies * pass check_repo * update bros model doc * docstring bugfix fix * add checkpoint for doc, tokenizer for doc * Update README.md * Update docs/source/en/model_doc/bros.md Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update bros.md * Update src/transformers/__init__.py Co-authored-by:
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- 25 Jul, 2023 1 commit
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Arthur authored
* draft add new model like * some cleaning of the config * nits * add nested configs * nits * update * update * added layer norms + triton kernels * consider only LPLayerNorm for now. * update * all keys match. * Update * fixing nits here and there * working forward pass. * removed einops dependency * nits * format * add alibi * byebye head mask * refactor attention * nits. * format * fix nits. * nuke ande updates * nuke tokenizer test * don't reshape query with kv heads * added a bit of documentation. * remove unneeded things * nuke more stuff * nit * logits match - same generations * rm unneeded methods * 1 remaining failing CI test * nit * fix nits * fix docs * fix docs * rm tokenizer * fixup * fixup * fixup and fix tests * fixed configuration object. * use correct activation * few minor fixes * clarify docs a bit * logits match à 1e-12 * skip and unskip a test * added some slow tests. * fix readme * add more details * Update docs/source/en/model_doc/mpt.md Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Apply suggestions from code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * fits in one line * some refactor because make fixup doesn't pass * add ft notebook * update md * correct doc path --------- 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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- 11 Jul, 2023 1 commit
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Matt authored
* Initial commit * Update src/transformers/models/falcon/configuration_falcon.py Co-authored-by:
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- 10 Jul, 2023 1 commit
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novice authored
* Add all files * Update masked_language_modeling.md * fix mlm models * fix conflicts * fix conflicts * fix copies * Apply suggestions from code review Co-authored-by:
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- 26 Jun, 2023 1 commit
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condor-cp authored
Add link to pytorch CrossEntropyLoss so that one understand why '-100' is ignore by the loss function.
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- 20 Jun, 2023 1 commit
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Sylvain Gugger authored
* Rename index.mdx to index.md * With saved modifs * Address review comment * Treat all files * .mdx -> .md * Remove special char * Update utils/tests_fetcher.py Co-authored-by:
Lysandre Debut <lysandre.debut@reseau.eseo.fr> --------- Co-authored-by:
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- 02 Jun, 2023 1 commit
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Matt authored
* Add an option to reduce compile() console spam * Add annotations to the example scripts * Add notes to the quicktour docs as well * minor fix
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- 27 Apr, 2023 2 commits
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peter-sk authored
* added GPTNeoForTokenClassification * add to top-level init * fixup * test * more fixup * add to gpt_neo.mdx * repo consistency * dummy copy * fix copies * optax >= 0.1.5 assumes jax.Array exists - which it doesn't for jax <= 0.3.6 * merge with main made this superfluous * added classifier_dropout * remove legacy code * removed fmt:on/off removed expected_outputs * doc style fix * classifier_dropout is always in config --------- Co-authored-by:Prof. Peter Schneider-Kamp <jps@ordbogen.com>
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peter-sk authored
* initial commit * added GPTNeoXForTokenClassification * typo * doc fixed extra comma that turned into a tuple * unifying variable names fixing forward call * classifier_dropout is in config Co-authored-by:
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- 14 Apr, 2023 1 commit
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Mayank Agarwal authored
* Fix word_ids hyperlink * Add suggested fix
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- 10 Apr, 2023 1 commit
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Joel Lamy-Poirier authored
* Add model with cli tool * Remove unwanted stuff * Add new code * Remove inference runner * Style * Fix checks * Test updates * make fixup * fix docs * fix doc * fix test * hopefully fix pipeline tests * refactor * fix CIs * add comment * rename to `GPTBigCodeForCausalLM` * correct readme * make fixup + docs * make fixup * fixes * fixes * Remove pruning * Remove import * Doc updates * More pruning removal * Combine copies * Single MQA implementation, remove kv cache pre-allocation and padding * Update doc * Revert refactor to match gpt2 style * Merge back key and value caches, fix some type hints * Update doc * Fix position ids pith padding (PR 21080) * Add conversion script temporarily * Update conversion script * Remove checkpoint conversion * New model * Fix MQA test * Fix copies * try fix tests * FIX TEST!! * remove `DoubleHeadsModel` * add MQA tests * add slow tests * clean up * add CPU checker * final fixes * fixes - fix GPU issue - fixed slow tests - skip disk offload * fix final issue * Simplify and comment baddbmm fix * Remove unnecessary code * Transpose tweaks * Use beta=1 on cpu, improve tests --------- Co-authored-by:
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- 03 Apr, 2023 1 commit
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Mohammed Jabir authored
* added biogpt token classifier * fix reviews * Updated modeling_biogpt.py Co-authored-by:
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- 24 Mar, 2023 1 commit
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Mitch Naylor authored
* add mega file structure and plain pytorch version of mega source code * added config class with old naming conventions * filled in mega documentation * added config class and embeddings with optional token types * updated notes * starting the conversion process, deleted intermediate and added use_cache back to config * renamed config attributes in modeling_mega.py * checkpointing before refactoring incremental decoding functions * removed stateful incremental key/values for EMA and self-attention * refactored MovingAverageGatedAttention to remove stateful k/v history and use unified attention mask * MovingAverageGatedAttention works with incremental decoding + past values, added sequence length enforcement * more comments in MovingAverageGatedAttention + checkpointing before GatedCrossAttention * bug fix in attention mask handling in MovingAverageGatedAttention * removed incremental state from GatedCrossAttention and removed IncrementalState class * finished gated cross attention and got MegaLayer working * fixed causal masking in mega decoder * fixed how padding and causal masks are passed through MegaLayer with and without k/v caching * finished MegaModel; tested with encoder, decoder-only, and cross-attention type inputs; started work on downstream classes; removed mentions of position_ids * added optional dense hidden layer for masked and causal LM classes * docstring updates in MultiHeadEMA and GatedCrossAttention, removed unnecessary inputs in cross-attention * removed before_attn_fn in Mega class and updated docstrings and comments up to there * bug fix in MovingAverageGatedAttention masking * working conversion of MLM checkpoint in scratchpad script -- perfect matches * moved arg for hidden dense layer in LM head to config; discovered issue where from_pretrained is renaming gamma and beta parameters * renamed gamma and beta parameters to avoid HF renaming when loading from checkpoint * finished checkpoint conversion script * cleanup old class in mega config script * removed 'copied from' statements and passing integration tests * added num_attention_heads=1 to config for integration compatibility, decoder tests working, generation tests failing * fixed tuple output of megamodel * all common tests passing after fixing issues in decoder, gradient retention, and initialization * added mega-specific tests, ready for more documentation and style checks * updated docstrings; checkpoint before style fixes * style and quality checks, fixed initialization problem in float_tensor, ready for PR * added mega to toctree * removed unnecessary arg in megaconfig * removed unused arg and fixed code samples with leftover roberta models * Apply suggestions from code review Applied all suggestions except the one renaming a class, as I'll need to update that througout Co-authored-by:
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- 20 Mar, 2023 1 commit
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amyeroberts authored
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- 27 Feb, 2023 1 commit
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Thomas Paviot authored
* fix wrong url * typos in english documentation
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- 15 Feb, 2023 1 commit
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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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- 10 Feb, 2023 1 commit
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Jannis Vamvas authored
* Add X-MOD to Readme * Add documentation for X-MOD * Implement X-MOD * Fix formatting of X-MOD docs * Change signature of X-MOD forward methods to use lang_ids * Minor changes * Rebase with main and run make fix-copies * Make suggested changes to docstrings * Improve code readability Co-authored-by:
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- 02 Feb, 2023 1 commit
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Steven Liu authored
fix formatting
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- 27 Jan, 2023 1 commit
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Maria Khalusova authored
* initial commit. added tip placeholders and a script * removed unused imports, fixed paths * fixed generated links * make style * split language modeling doc into two: causal language modeling and masked language modeling * added check_task_guides.py to make fix-copies * review feedback addressed
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- 25 Jan, 2023 1 commit
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Maria Khalusova authored
* Fixed the following: pipe -> pipeline out in pipe(data()) is a list of dict, not a dict * Fixed the TypeError: __init__() missing 1 required positional argument: 'key' * Added a tip: code sample requires additional libraries to run * Fixed custom config's name * added seqeval to the required libraries * fixed a missing dependency, fixed metric naming, added checkpoint to fix the datacollator * added checkpoint to fix the datacollator, added missing dependency
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- 21 Nov, 2022 1 commit
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Steven Liu authored
*
📝 start adding inference section to task guides *✨ make style *📝 add multiple choice * add rest of inference sections * make style * add compute_metric, push_to_hub, pipeline * make style * add updated sequence and token classification * make style * make edits in token classification * add audio classification * make style * add asr * make style * add image classification * make style * add summarization * make style * add translation * make style * add multiple choice * add language modeling * add qa * make style * review and edits * apply reviews * make style * fix call to processor * apply audio reviews * update to better asr model * make style
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- 07 Sep, 2022 1 commit
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Matt authored
* Update TF fine-tuning docs * Fix formatting * Add some section headers so the right sidebar works better * Squiggly it * Update docs/source/en/training.mdx Co-authored-by:
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- 06 Jul, 2022 1 commit
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Sylvain Gugger authored
* Link to the Datasets doc * Remove unwanted file
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- 04 Apr, 2022 1 commit
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Sylvain Gugger authored
* Reorganize doc for multilingual support * Fix style * Style * Toc trees * Adapt templates
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- 25 Mar, 2022 1 commit
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Sylvain Gugger authored
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- 22 Mar, 2022 1 commit
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Steven Liu authored
*
✨ refactor code samples with framework-specific blocks *✨ update training.mdx *🖍 apply feedback
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- 18 Mar, 2022 1 commit
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Steven Liu authored
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🖍 fix links in guides *🖍 apply feedback
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- 15 Mar, 2022 1 commit
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Sylvain Gugger authored
* First files * More files * Last files * Style
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- 10 Mar, 2022 1 commit
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David S. Batista authored
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- 23 Feb, 2022 1 commit
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Steven Liu authored
* clean commit of changes to NLP tasks *
🖍 apply feedback *📝 move tf data collator in multiple choice Co-authored-by:Steven <stevhliu@gmail.com>
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