- 12 Oct, 2022 1 commit
-
-
NielsRogge authored
* First draft * Fix more things * Improve more things * Remove some head models * Fix more things * Add missing layers * Remove tokenizer * Fix more things * Fix copied from statements * Make all tests pass * Remove print statements * Remove files * Fix README and docs * Add integration test and fix organization * Add tips * Apply suggestions from code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Make tests faster, improve docs * Fix doc tests * Add model to toctree * Add docs * Add note about creating new checkpoint * Remove is_decoder * Make tests smaller, add docs Co-authored-by:
-
- 11 Oct, 2022 1 commit
-
-
Oussamaosman02 authored
* Adding the README_es.md and reference to it in the others files readme * Updating the check_copies.py * Updating README_es.md * Updating chec_copies
-
- 10 Oct, 2022 2 commits
-
-
Lysandre authored
-
amyeroberts authored
* simplify loop * add featur extractor * add model * start conversion * add dropout * initial commit of test files * copnversion for all models * update processor for correct padding * update feature extraction * update integration test logits match * fmnt: off for the logits * on the fly mel bank * small nit * update test * update tokenizer * nit feature extraction * update * update tokenizer test * adds logit processor and update tokenizer to get supress tokens * style * clean convert * revert to original modeling tf utils * Update * update * nit * clean convert file * update tests and nits * quality * slow generation test * ffn_dim to allow customization * update readme * add to toctreee * start fixing integration tests * update tests and code * fix feature extractor * fix config tests common * update code to fix tests * fix feature exctractor * nit feature extraction * update test for new feature extractor * style * add absrtact * large logits wioth custom decoder input ids * wraap around is otrch available * fix feature extractor * correct logits for whisper small.en * nit * fix encoder_attentino_mask * some fixes * remove unnecessary inputs * nits * add normalizer file * update etst tokenization * fix attention mask not defined * fix generate * remove uncoder attention mask useless * update test modeling whisper * update condfig to add second non supress tokens * nits on feature exrtactor * nit for test tokenizers * update etsts * update tests * update tokenization test * fixup * invalidated hf token. Clean convert openai to whisper * fix logit tests * fixup * Add model to README * Fix doc tests * clean merge * revert toc_tree changes * remove useless LogitProcessor * Update whisper .mdx * update config file doc * update configuration docstring * update test tokenization * update test tokenization * update tokenization whisper Added copied from where needed * update feature extraction * nit test name * style * quality * remove get suppress tokens and update non_speech tokens global variables * Update src/transformers/models/whisper/feature_extraction_whisper.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * clean modeling whisper and test Removed the attention mask arguments that are deprecated * fix large test * Add multilingual audio test, and translate test * style * fix larg multilingual test * nits * add copied from for attention layer * remove attention masks in doc * add english normalizer * Update docs/source/en/model_doc/whisper.mdx Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/whisper/configuration_whisper.py Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> * Update src/transformers/generation_tf_logits_process.py Co-authored-by:
Matt <Rocketknight1@users.noreply.github.com> * Remove changes to adjust_logits_during_generation function * Update src/transformers/models/whisper/modeling_tf_whisper.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Tidy up imports that don't require TF * Update tests - skip and no more skip * Update tests/generation/test_generation_tf_logits_process.py Co-authored-by:
Arthur Zucker <arthur.zucker@gmail.com> Co-authored-by:
NielsRogge <niels.rogge1@gmail.com> Co-authored-by:
Joao Gante <joao@huggingface.co>
-
- 05 Oct, 2022 1 commit
-
-
Arthur authored
* simplify loop * add featur extractor * add model * start conversion * add dropout * initial commit of test files * copnversion for all models * update processor for correct padding * update feature extraction * update integration test logits match * fmnt: off for the logits * on the fly mel bank * small nit * update test * update tokenizer * nit feature extraction * update * update tokenizer test * adds logit processor and update tokenizer to get supress tokens * style * clean convert * revert to original modeling tf utils * Update * update * nit * clean convert file * update tests and nits * quality * slow generation test * ffn_dim to allow customization * update readme * add to toctreee * start fixing integration tests * update tests and code * fix feature extractor * fix config tests common * update code to fix tests * fix feature exctractor * nit feature extraction * update test for new feature extractor * style * add absrtact * large logits wioth custom decoder input ids * wraap around is otrch available * fix feature extractor * correct logits for whisper small.en * nit * fix encoder_attentino_mask * some fixes * remove unnecessary inputs * nits * add normalizer file * update etst tokenization * fix attention mask not defined * Add model to README * Fix doc tests * fix generate * remove uncoder attention mask useless * update test modeling whisper * update condfig to add second non supress tokens * nits on feature exrtactor * nit for test tokenizers * update etsts * update tests * update tokenization test * fixup * invalidated hf token. Clean convert openai to whisper * fix logit tests * fixup * clean merge * revert toc_tree changes * remove useless LogitProcessor * Update whisper .mdx * update config file doc * update configuration docstring * update test tokenization * update test tokenization * update tokenization whisper Added copied from where needed * update feature extraction * nit test name * style * quality * remove get suppress tokens and update non_speech tokens global variables * Update src/transformers/models/whisper/feature_extraction_whisper.py Co-authored-by:
-
- 04 Oct, 2022 1 commit
-
-
Shubham S Jagtap authored
-
- 30 Sep, 2022 3 commits
-
-
Kashif Rasul authored
* initial files * initial model via cli * typos * make a start on the model config * ready with configuation * remove tokenizer ref. * init the transformer * added initial model forward to return dec_output * require gluonts * update dep. ver table and add as extra * fixed typo * add type for prediction_length * use num_time_features * use config * more config * typos * opps another typo * freq can be none * default via transformation is 1 * initial transformations * fix imports * added transform_start_field * add helper to create pytorch dataloader * added inital val and test data loader * added initial distr head and loss * training working * remove TimeSeriesTransformerTokenizer Co-authored-by:
-
Matt authored
* Rebase ESM PR and update all file formats * Fix test relative imports * Add __init__.py to the test dir * Disable gradient checkpointing * Remove references to TFESM... FOR NOW >:| * Remove completed TODOs from tests * Convert docstrings to mdx, fix-copies from BERT * fix-copies for the README and index * Update ESM's __init__.py to the modern format * Add to _toctree.yml * Ensure we correctly copy the pad_token_id from the original ESM model * Ensure we correctly copy the pad_token_id from the original ESM model * Tiny grammar nitpicks * Make the layer norm after embeddings an optional flag * Make the layer norm after embeddings an optional flag * Update the conversion script to handle other model classes * Remove token_type_ids entirely, fix attention_masking and add checks to convert_esm.py * Break the copied from link from BertModel.forward to remove token_type_ids * Remove debug array saves * Begin ESM-2 porting * Add a hacky workaround for the precision issue in original repo * Code cleanup * Remove unused checkpoint conversion code * Remove unused checkpoint conversion code * Fix copyright notices * Get rid of all references to the TF weights conversion * Remove token_type_ids from the tests * Fix test code * Update src/transformers/__init__.py Co-authored-by:
Your Name <you@example.com> Co-authored-by:
Tom Sercu <tsercu@fb.com> Co-authored-by:
-
NielsRogge authored
* First draft * Make basic test work * Fix most tokenizer tests * More improvements * Make more tests pass * Fix more tests * Fix some code quality * Improve truncation * Implement feature extractor * Improve feature extractor and add tests * Improve feature extractor tests * Fix pair_input test partly * Add fast tokenizer * Improve implementation * Fix rebase * Fix rebase * Fix most of the tokenizer tests. * propose solution for fast * add: integration test for fasttokenizer, warning for decode, fix template in slow tokenizer * add: modify markuplmconverter * add: some modify on converter and tokenizerfast * Fix style, copies * Make fixup * Update tokenization_markuplm.py * Update test_tokenization_markuplm.py * Update markuplm related * Improve processor, add integration test * Add processor test file * Improve processor * Improve processor tests * Fix more processor tests * Fix processor tests * Update docstrings * Add Copied from statements * Add more Copied from statements * Add code examples * Improve code examples * Add model to doc tests * Adding dependency check * Add dummy file * Add requires_backends * Add model to toctree * Fix more things, disable dependency check for now * Apply more suggestions * Add soft dependency * Add annotators to tests * Fix style * Remove from_slow=True * Remove print statements * Add sanity check * Fix processor test * Fix processor tests, add more docs * Add doc tests for mdx file * Add more tips * Apply suggestions Co-authored-by:
Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> Co-authored-by:
lockon-n <45759388+lockon-n@users.noreply.github.com> Co-authored-by:
SaulLu <lucilesaul.com@gmail.com> Co-authored-by:
lockon-n <dd098309@126.com>
-
- 22 Sep, 2022 2 commits
-
-
Sayak Paul authored
* feat: modeling and conversion scripts for msn. * chore: change license year. * chore: remove unneeded modules. * feat: direct loading of state_dict from remote url. * fix: import paths. * add: rest of the files. * add and fix rest of the files. Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * chore: put model in no_grad() and formatting. Co-authored-by:
-
DepuMeng authored
* added conditional_detr files * checked copies * checked copies * fixed style and copies * fixed style and copies * fixed hub * fixed style * Update README.md Co-authored-by:
Depu Meng <depumeng@Depus-MacBook-Pro.local>
-
- 16 Sep, 2022 1 commit
-
-
Lysandre Debut authored
-
- 14 Sep, 2022 3 commits
-
-
Lysandre authored
-
Shinya Otani authored
* add gpt-neox-japanese model and tokenizer as new model * Correction to PR's comment for GPT NeoX Japanese - Fix to be able to use gpu - Add comment # Copied... at the top of RotaryEmbedding - Implement nn.Linear instead of original linear class - Add generation test under @slow * fix bias treatment for gpt-neox-japanese * Modidy gpt-neox-japanese following PR - add doc for bias_dropout_add - style change following a PR comment * add document for gpt-neox-japanese * remove unused import from gpt-neox-japanese * fix README for gpt-neox-japanese
-
NielsRogge authored
* First draft * More improvements * Improve model, add custom CUDA code * Import torch before * Add script that imports custom layer * Add everything in new ops directory * Import custom layer in modeling file * Fix ARCHIVE_MAP typo * Creating the custom kernel on the fly. * Import custom layer in modeling file * More improvements * Fix CUDA loading * More improvements * Improve conversion script * Improve conversion script * Make it work until encoder_outputs * Make forward pass work * More improvements * Make logits match original implementation * Make implementation also support single_scale model * Add support for single_scale and dilation checkpoint * Add support for with_box_refine model * Support also two stage model * Improve tests * Fix more tests * Make more tests pass * Upload all models to the hub * Clean up some code * Improve decoder outputs * Rename intermediate hidden states and reference points * Improve model outputs * Move tests to dedicated folder * Improve model outputs * Fix retain_grad test * Improve docs * Clean up and make test_initialization pass * Improve variable names * Add copied from statements * Improve docs * Fix style * Improve docs * Improve docs, move tests to model folder * Fix rebase * Remove DetrForSegmentation from auto mapping * Apply suggestions from code review * Improve variable names and docstrings * Apply some more suggestions from code review * Apply suggestion from code review * better docs and variables names * hint to num_queries and two_stage confusion * remove asserts and code refactor * add exception if two_stage is True and with_box_refine is False * use f-strings * Improve docs and variable names * Fix code quality * Fix rebase * Add require_torch_gpu decorator * Add pip install ninja to CI jobs * Apply suggestion of @sgugger * Remove DeformableDetrForObjectDetection from auto mapping * Remove DeformableDetrModel from auto mapping * Add model to toctree * Add model back to mappings, skip model in pipeline tests * Apply @sgugger's suggestion * Fix imports in the init * Fix copies * Add CPU implementation * Comment out GPU function * Undo previous change * Apply more suggestions * Remove require_torch_gpu annotator * Fix quality * Add logger.info * Fix logger * Fix variable names * Fix initializaztion * Add missing initialization * Update checkpoint name * Add model to doc tests * Add CPU/GPU equivalence test * Add Deformable DETR to pipeline tests * Skip model for object detection pipeline Co-authored-by:
Nicolas Patry <patry.nicolas@protonmail.com> Co-authored-by:
Nouamane Tazi <nouamane98@gmail.com> Co-authored-by:
Sylvain Gugger <Sylvain.gugger@gmail.com>
-
- 09 Sep, 2022 1 commit
-
-
HuYong authored
* add_ernie * remove Tokenizer in ernie * polish code * format code style * polish code * fix style * update doc * make fix-copies * change model name * change model name * fix dependency * add more copied from * rename ErnieLMHeadModel to ErnieForCausalLM do not expose ErnieLayer update doc * fix * make style * polish code * polish code * fix * fix * fix * fix * fix * final fix Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
-
- 08 Sep, 2022 2 commits
-
-
NielsRogge authored
* First draft * Improve conversion script * Make vision encoder work * More improvements * Improve conversion script * Fix quality * Add MultiframeIntegrationTransformer * More improvements * Make MiT output work * Fix quality * Add prompts generator * Add tests * Fix some tests * Fix some more tests * Fix more tests * Improve conversion script * Fix model outputs * Fix more tests * Add XClipProcessor * Use processor in conversion script * Fix integration test * Update README, fix docs * Fix all tests * Add MIT output to XClipOutput * Create better variable names * Rename XClip to XCLIP * Extend conversion script * Add support for large models * Add support for 16 frame models * Add another model' * Fix module issue * Apply suggestions from code review * Add figure to docs * Fix CLIPProcessor issue * Apply suggestions from code review * Delete file * Convert more checkpoints * Convert last checkpoint * Update nielsr to microsoft
-
Devlee247 authored
* fix LayoutXLM wrong link in README * fix LayoutXLM worng link in index.mdx
-
- 02 Sep, 2022 1 commit
-
-
Jason Phang authored
* PegasusX Initial commit * rename * pegasus X implementation * pegx update * pegx fix * pegasus-x fixes * pegx updates * cleanup * cleanup * cleanup * tests * stylefixes * Documentation update * Model hub fix * cleanup * update * update * testfix * Check fix * tweaks for merging * style * style * updates for pr * style * change pegasus-x repo
-
- 29 Aug, 2022 1 commit
-
-
NielsRogge authored
Co-authored-by:
-
- 12 Aug, 2022 1 commit
-
-
NielsRogge authored
* First draft * Improve script * Update script * Make conversion work * Add final_layer_norm attribute to Swin's config * Add DonutProcessor * Convert more models * Improve feature extractor and convert base models * Fix bug * Improve integration tests * Improve integration tests and add model to README * Add doc test * Add feature extractor to docs * Fix integration tests * Remove register_buffer * Fix toctree and add missing attribute * Add DonutSwin * Make conversion script work * Improve conversion script * Address comment * Fix bug * Fix another bug * Remove deprecated method from docs * Make Swin and Swinv2 untouched * Fix code examples * Fix processor * Update model_type to donut-swin * Add feature extractor tests, add token2json method, improve feature extractor * Fix failing tests, remove integration test * Add do_thumbnail for consistency * Improve code examples * Add code example for document parsing * Add DonutSwin to MODEL_NAMES_MAPPING * Add model to appropriate place in toctree * Update namespace to appropriate organization Co-authored-by:
-
- 06 Aug, 2022 1 commit
-
-
Julien Chaumond authored
* Delete valohai.yaml * NLP => ML * typo * website supports https * datasets * 60k + modalities * unrelated link fixing for accelerate * Ok those links were actually broken * Fix link * Make `AutoTokenizer` auto-link * wording tweak * add at least one non-nlp task
-
- 04 Aug, 2022 1 commit
-
-
NielsRogge authored
* First draft * Add VideoMAEForVideoClassification * Improve conversion script * Add VideoMAEForPreTraining * Add VideoMAEFeatureExtractor * Improve VideoMAEFeatureExtractor * Improve docs * Add first draft of model tests * Improve VideoMAEForPreTraining * Fix base_model_prefix * Make model take pixel_values of shape (B, T, C, H, W) * Add loss computation of VideoMAEForPreTraining * Improve tests * Improve model tests茅 * Make all tests pass * Add VideoMAE to main README * Add tests for VideoMAEFeatureExtractor * Add integration test * Improve conversion script * Rename patch embedding class * Remove VideoMAELayer from init * Update design of patch embeddings * Improve comments * Improve conversion script * Improve conversion script * Add conversion of pretrained model * Add loss verification of pretrained model * Add loss verification of unnormalized targets * Add integration test for pretraining model * Apply suggestions from code review * Fix bug to make feature extractor resize only shorter edge * Address more comments * Improve normalization of videos * Add doc examples * Move constants to dedicated script * Remove scripts * Transfer checkpoints, fix docs * Update script * Update image mean and std * Fix doc tests * Set return_tensors to NumPy by default * Revert the previous change Co-authored-by:
-
- 27 Jul, 2022 2 commits
-
-
Ritik Nandwal authored
* Add files generated using transformer-cli add-new-model-like command * Add changes for swinv2 attention and forward method * Add fixes * Add modifications for weight conversion and remaining args in swin model * Add changes for patchmerging * Add changes for SwinV2selfattention * Update conversion script * Add final fixes for the swin_v2 model * Add changes for conversion script for pretrained window size case * Add pretrained window size value from config in SwinV2Encoder class * Make fixup * Add swinv2 to models_not_in_readme to utils/check_copies.py * Modify Swinv2v2 to Swin Transformer V2 * Remove copied from, to run make fixup command * Add updates to swinv2tf from main branch * Add pretrained_window_size to config, to make tests pass * Add modified weights from nandwalritik profile for swinv2 * Update model weights from swinv2 from nandwalritik profile * Add fix for build_pr_documentation CI fix * Add fixes for weight conversion * Add change to make input with padding work * Add fixes for test cases * Add few changes from swin to swinv2 to pass test cases * Remove tests for tensorflow as swinv2 for TF is not added yet * Overide test_pt_tf_model_equivalence function as TF implementation for swinv2 is not added yet * Add modeling_tf_swinv2 to _ignore_modules as test file is removed for this one right now. * Update docs url for swinv2 in README.md Co-authored-by:
Alara Dirik <8944735+alaradirik@users.noreply.github.com> * Add suggested changes for modeling_swin2.py * Update docs * Remove create_and_test_config_common_properties function, as test_model_common_attributes is sufficient. * Fix indentation. Co-authored-by:
-
Lysandre authored
-
- 22 Jul, 2022 1 commit
-
-
Alara Dirik authored
* add owlvit model skeleton * add class and box predictor heads * convert modified flax clip to pytorch * fix box and class predictors * add OwlViTImageTextEmbedder * convert class and box head checkpoints * convert image text embedder checkpoints * add object detection head * fix bugs * update conversion script * update conversion script * fix q,v,k,out weight conversion conversion * add owlvit object detection output * fix bug in image embedder * fix bugs in text embedder * fix positional embeddings * fix bug in inference mode vision pooling * update docs, init tokenizer and processor files * support batch processing * add OwlViTProcessor * remove merge conflicts * readd owlvit imports * fix bug in OwlViTProcessor imports * fix bugs in processor * update docs * fix bugs in processor * update owlvit docs * add OwlViTFeatureExtractor * style changes, add postprocess method to feature extractor * add feature extractor and processor tests * add object detection tests * update conversion script * update config paths * update config paths * fix configuration paths and bugs * fix bugs in OwlViT tests * add import checks to processor * fix docs and minor issues * fix docs and minor issues * fix bugs and issues * fix bugs and issues * fix bugs and issues * fix bugs and issues * update docs and examples * fix bugs and issues * update conversion script, fix positional embeddings * process 2D input ids, update tests * fix style and quality issues * update docs * update docs and imports * update OWL-ViT index.md * fix bug in OwlViT feature ext tests * fix code examples, return_dict by default * return_dict by default * minor fixes, add tests to processor * small fixes * add output_attentions arg to main model * fix bugs * remove output_hidden_states arg from main model * update self.config variables * add option to return last_hidden_states * fix bug in config variables * fix copied from statements * fix small issues and bugs * fix bugs * fix bugs, support greyscale images * run fixup * update repo name * merge OwlViTImageTextEmbedder with obj detection head * fix merge conflict * fix merge conflict * make fixup * fix bugs * fix bugs * add additional processor test
-
- 19 Jul, 2022 2 commits
-
-
flozi00 authored
-
Sylvain Gugger authored
-
- 18 Jul, 2022 1 commit
-
-
Lysandre Debut authored
* NLLB tokenizer * Apply suggestions from code review - Thanks Stefan! Co-authored-by:
Stefan Schweter <stefan@schweter.it> * Final touches * Style :) * Update docs/source/en/model_doc/nllb.mdx Co-authored-by:
-
- 29 Jun, 2022 2 commits
-
-
Matthijs Hollemans authored
* add MobileViT * fixup * Update README.md Co-authored-by:
-
StevenTang1998 authored
* Add MVP model * Update README * Remove useless module * Update docs * Fix bugs in tokenizer * Remove useless test * Remove useless module * Update vocab * Remove specifying * Remove specifying * Add #Copied ... statement * Update paper link * Remove useless TFMvp * Add #Copied ... statement * Fix style in test mvp model * Fix some typos * Fix properties of unset special tokens in non verbose mode * Update paper link * Update MVP doc * Update MVP doc * Fix README * Fix typos in docs * Update docs
-
- 28 Jun, 2022 1 commit
-
-
Jerry Jiarui XU authored
* add group vit and fixed test (except slow) * passing slow test * addressed some comments * fixed test * fixed style * fixed copy * fixed segmentation output * fixed test * fixed relative path * fixed copy * add ignore non auto configured * fixed docstring, add doc * fixed copies * Apply suggestions from code review merge suggestions Co-authored-by:
-
- 24 Jun, 2022 1 commit
-
-
rooa authored
* Add CodeGen model * Add missing key and switch order of super() * Fix torch.ones init with uint8 instead of bool * Address comments: copy statements and doc * update tests * remove old model parallel * fix batch gen tests * fix batch gen test * update test_gpt2_sample_max_time * fix codgen test and revert gpt2 test change * Fix incorrect tie_word_embedding value, typo, URL * Fix model order in README and styling * Reorder model list alphabetically * Set tie_word_embedding to False by default * Apply suggestions from code review * Better attn mask name & remove attn masked_bias * add tokenizer for codegen * quality * doc tokenizer * fix-copies * add CodeGenTokenizer in converter * make truncation optional * add test for truncation * add copyright * fix-copies * fix fast tokenizer decode * Update src/transformers/models/codegen/tokenization_codegen.py Co-authored-by:
patil-suraj <surajp815@gmail.com> Co-authored-by:
-
- 23 Jun, 2022 1 commit
-
-
Sijun He authored
* wip * rebase * all tests pass * rebase * ready for PR * address comments * fix styles * add require_torch to pipeline test * remove remote image to improve CI consistency * address comments; fix tf/flax tests * address comments; fix tf/flax tests * fix tests; add alias * repo consistency tests * Update src/transformers/pipelines/visual_question_answering.py Co-authored-by:
Sijun He <sijunhe@Sijuns-MacBook-Pro.local> Co-authored-by:
-
- 21 Jun, 2022 1 commit
-
-
Patrick von Platen authored
* Add UL2 Co-authored-by:Daniel Hesslow <Daniel.Hesslow@gmail.com> * Correct naming * sort better * up * apply sylvains suggestion
-
- 16 Jun, 2022 1 commit
-
-
Sylvain Gugger authored
-
- 15 Jun, 2022 1 commit
-
-
Patrick von Platen authored
* [Wav2Vec2Conformer] Official release * remove from not-in-readme
-
- 13 Jun, 2022 1 commit
-
-
Daniel Stancl authored
* Initial commit * Make some fixes * Make PT model full forward pass * Drop TF & Flax implementation, fix copies etc * Add Flax model and update some corresponding stuff * Drop some TF things * Update config and flax local attn * Add encoder_attention_type to config * . * Update docs * Do some cleansing * Fix some issues -> make style; add some docs * Fix position_bias + mask addition + Update tests * Fix repo consistency * Fix model consistency by removing flax operation over attn_mask * [WIP] Add PT TGlobal LongT5 * . * [WIP] Add flax tglobal model * [WIP] Update flax model to use the right attention type in the encoder * Fix flax tglobal model forward pass * Make the use of global_relative_attention_bias * Add test suites for TGlobal model * Fix minor bugs, clean code * Fix pt-flax equivalence though not convinced with correctness * Fix LocalAttn implementation to match the original impl. + update READMEs * Few updates * Update: [Flax] improve large model init and loading #16148 * Add ckpt conversion script accoring to #16853 + handle torch device placement * Minor updates to conversion script. * Typo: AutoModelForSeq2SeqLM -> FlaxAutoModelForSeq2SeqLM * gpu support + dtype fix * Apply some suggestions from code review Co-authored-by:
phungvanduy <pvduy23@gmail.com> Co-authored-by:
-
- 09 Jun, 2022 1 commit
-
-
Younes Belkada authored
* adding template * update model * model update * update conf for debug model * update conversion * update conversion script * update conversion script * fix missing keys check * add tests to test the tokenizer in the local machine * Change variable name * add tests on xnli dataset * add more description * add descriptions + clearer code * clearer code * adding new tests + skipping few tests because of env problems * change comment * add dtype on the configuration * add test embeddings * add hardcoded test * fix dtype issue * adding torch.float16 to config * adding more metrics (min, max, mean) * add sum * now the test passes with almost equal * add files for conversion - test passes on cpu gpu * add final changes * cleaning code * add new args in the docstring * fix one liner function * remove macros * remove forward attention * clean up init funtion * add comments on the issue * rm scale mask softmax * do make style * fix dtype in init * fixing for loop on att probs * fix style with black * fix style + doc error * fix and debug CI errors (docs + style) * some updates - change new operations - finally add scaled softmax - added new args in the config * make use cache working * add changes - save sharded models - final changes on the modeling script * add changes - comment on alibi - add TODO on seq length * test commit - added a text to test the commit Co-authored-by:
thomasw21 <24695242+thomasw21@users.noreply.github.com> * final changes - attention mask change - generation works on BS176b Co-authored-by:
Stas Bekman <stas00@users.noreply.github.com> * apply modifications Co-authored-by:
Niklas Muennighoff <n.muennighoff@gmail.com> * final changes modeling Co-authored-by:
Nicolas Patry <Narsil@users.noreply.github.com> * forward contrib credits Co-authored-by:
thomasw21 <thomasw21@users.noreply.github.com> Co-authored-by:
sgugger <sgugger@users.noreply.github.com> Co-authored-by:
patrickvonplaten <patrickvonplaten@users.noreply.github.com> Co-authored-by:
LysandreJik <LysandreJik@users.noreply.github.com> * Apply suggestions from code review Co-authored-by:
justheuristic <justheuristic@gmail.com> * fix alibi - create alibi only once * add small doc * make quality * replace torch.nn * remove token type emb * fix fused op + output bias * add fused op - now can control fused operation from config * remove fused op * make quality * small changes - remove unsed args on config - removed bias gelu file - make the model torchscriptable - add torchscript slow tests * Update src/transformers/models/bloom/modeling_bloom.py * fix slow * make style * add accelerate support * add bloom to deepspeed tests * minor changes * Apply suggestions from code review Co-authored-by:
Thomwolf <thomwolf@gmail.com> Co-authored-by:
Thomas Wolf <thomas@huggingface.co> Co-authored-by:
sIncerass <sheng.s@berkeley.edu> Co-authored-by:
Stas Bekman <stas@stason.org>
-
- 07 Jun, 2022 1 commit
-
-
Chan Woo Kim authored
* added cbs to notebooks, made copy-paste error fix in generation_utils * initial push for mctc model * mctc feature extractor done * added processor, tokenizer and their tests for MCTC. Have added an MCTC modeling test, adjusting model code accordingly. * added processor, tokenizer and their tests for MCTC. Have added an MCTC modeling test, adjusting model code accordingly. * passing attention, now struggling to figure out how attention masks make sense here * works when excluding attention masks. ask later how one would integrate attention maskshere * bizarre configuration error (model prefix comes first in config dict json and messes up the order) * all passing but bizzarre config dict ordering issue when to_dict * passing all major tests * feature extraction, processor, tokenizer added & tests passing * style & consistency & other logistical fixes * copy paste fix * model after feature extraction working * commiting final feature extraction results; need to fix normalization * feature extraction passing tests; probably should add tests on the specific flashlight-copied functions? * delete print ; format code a bit * fixing tests * passing major tests * fixing styles * completed tokenization test with real example; not sure if these values are entirely correct. * last test fixes from local * reverting accidentally included custom setup configs * remove load tf weights; fix config error * testing couldnt import featureextractor * fix docs * fix docs * resolving comments * style fixes * style fixes * Update to MCTCConv1dSubSampler Co-authored-by:
-
