1. 05 Aug, 2022 1 commit
  2. 04 Aug, 2022 1 commit
  3. 01 Aug, 2022 2 commits
  4. 28 Jul, 2022 1 commit
  5. 26 Jul, 2022 4 commits
  6. 22 Jul, 2022 1 commit
    • Alara Dirik's avatar
      Add OWL-ViT model for zero-shot object detection (#17938) · 12d66b47
      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
      12d66b47
  7. 21 Jul, 2022 2 commits
    • Sayak Paul's avatar
      [SegFormer] TensorFlow port (#17910) · 561b9a8c
      Sayak Paul authored
      
      
      * add: segformer utils and img. classification.
      
      * add: segmentation layer.
      
      * feat: working implementation of segformer.
      
      * chore: remove unused variable.
      
      * add test, remaining modifications.
      
      * remove: unnecessary files.
      
      * add: rest of the files.
      Co-authored-by: default avatarmatt <rocketknight1@gmail.com>
      
      * chore: remove ModuleList comment.
      
      * chore: apply make style.
      
      * chore: apply make fixup-copies.
      
      * add  to check_repo.py
      
      * add decode head to IGNORE_NON_TESTED
      
      * chore: run make style.
      
      * chore: PR comments.
      
      * chore: minor changes to model doc.
      
      * tests: reduction across samples.
      
      * add a note on the space.
      
      * sort importats.
      
      * fix: reduction in loss computation.
      
      * chore: align loss function with that of NER.
      
      * chore: correct utils/documentation_tests.txt
      Co-authored-by: default avatarJoao Gante <joaofranciscocardosogante@gmail.com>
      
      * chore: simplify the interpolation of logits in loss computation.
      
      * chore: return transposed logits when return_dict=False.
      
      * chore: add link to the tf fine-tuning repo.
      
      * address pr comments.
      
      * address niels's comments.
      
      * remove from_pt=True since tf weights are in.
      
      * remove comment from pt model.
      
      * address niels's comments.
      Co-authored-by: default avatarmatt <rocketknight1@gmail.com>
      Co-authored-by: default avatarJoao Gante <joaofranciscocardosogante@gmail.com>
      561b9a8c
    • Yih-Dar's avatar
      Update notification service (#17921) · 2c5747ed
      Yih-Dar authored
      
      Co-authored-by: default avatarydshieh <ydshieh@users.noreply.github.com>
      2c5747ed
  8. 19 Jul, 2022 1 commit
  9. 18 Jul, 2022 1 commit
  10. 13 Jul, 2022 1 commit
  11. 11 Jul, 2022 1 commit
  12. 08 Jul, 2022 1 commit
  13. 07 Jul, 2022 1 commit
  14. 05 Jul, 2022 1 commit
  15. 04 Jul, 2022 1 commit
  16. 29 Jun, 2022 4 commits
  17. 28 Jun, 2022 1 commit
  18. 27 Jun, 2022 1 commit
    • Matt's avatar
      Add a TF in-graph tokenizer for BERT (#17701) · ee0d001d
      Matt authored
      * Add a TF in-graph tokenizer for BERT
      
      * Add from_pretrained
      
      * Add proper truncation, option handling to match other tokenizers
      
      * Add proper imports and guards
      
      * Add test, fix all the bugs exposed by said test
      
      * Fix truncation of paired texts in graph mode, more test updates
      
      * Small fixes, add a (very careful) test for savedmodel
      
      * Add tensorflow-text dependency, make fixup
      
      * Update documentation
      
      * Update documentation
      
      * make fixup
      
      * Slight changes to tests
      
      * Add some docstring examples
      
      * Update tests
      
      * Update tests and add proper lowercasing/normalization
      
      * make fixup
      
      * Add docstring for padding!
      
      * Mark slow tests
      
      * make fixup
      
      * Fall back to BertTokenizerFast if BertTokenizer is unavailable
      
      * Fall back to BertTokenizerFast if BertTokenizer is unavailable
      
      * make fixup
      
      * Properly handle tensorflow-text dummies
      ee0d001d
  19. 24 Jun, 2022 2 commits
  20. 23 Jun, 2022 1 commit
    • Quentin's avatar
      add doctests for DETR (#17786) · ab223fc1
      Quentin authored
      * add: check labels for detr object detection doctests
      
      * add: check shapes
      
      * add: add detr to documentation_tests.py
      
      * fix: make fixup output
      
      * fix: add a comment
      ab223fc1
  21. 18 Jun, 2022 1 commit
  22. 15 Jun, 2022 1 commit
  23. 13 Jun, 2022 2 commits
    • Daniel Stancl's avatar
      Add `LongT5` model (#16792) · a72f1c9f
      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: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      
      * * Remove (de)parallelize stuff
      * Edit shape comments
      * Update README.md
      * make fix-copies
      
      * Remove caching logic for local & tglobal attention
      
      * Apply another batch of suggestions from code review
      
      * Add missing checkpoints
      * Format converting scripts
      * Drop (de)parallelize links from longT5 mdx
      
      * Fix converting script + revert config file change
      
      * Revert "Remove caching logic for local & tglobal attention"
      
      This reverts commit 2a619828f6ddc3e65bd9bb1725a12b77fa883a46.
      
      * Stash caching logic in Flax model
      
      * Make side relative bias used always
      
      * Drop caching logic in PT model
      
      * Return side bias as it was
      
      * Drop all remaining model parallel logic
      
      * Remove clamp statements
      
      * Move test files to the proper place
      
      * Update docs with new version of hf-doc-builder
      
      * Fix test imports
      
      * Make some minor improvements
      
      * Add missing checkpoints to docs
      * Make TGlobal model compatible with torch.onnx.export
      * Replace some np.ndarray with jnp.ndarray
      
      * Fix TGlobal for ONNX conversion + update docs
      
      * fix _make_global_fixed_block_ids and masked neg  value
      
      * update flax model
      
      * style and quality
      
      * fix imports
      
      * remove load_tf_weights_in_longt5 from init and fix copies
      
      * add slow test for TGlobal model
      
      * typo fix
      
      * Drop obsolete is_parallelizable and one warning
      
      * Update __init__ files to fix repo-consistency
      
      * fix pipeline test
      
      * Fix some device placements
      
      * [wip]: Update tests -- need to generate summaries to update expected_summary
      
      * Fix quality
      
      * Update LongT5 model card
      
      * Update (slow) summarization tests
      
      * make style
      
      * rename checkpoitns
      
      * finish
      
      * fix flax tests
      Co-authored-by: default avatarphungvanduy <pvduy23@gmail.com>
      Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      Co-authored-by: default avatarpatil-suraj <surajp815@gmail.com>
      a72f1c9f
    • Bram Vanroy's avatar
      explicitly set utf8 for Windows (#17664) · 73083581
      Bram Vanroy authored
      73083581
  24. 09 Jun, 2022 1 commit
  25. 07 Jun, 2022 1 commit
    • Chan Woo Kim's avatar
      M-CTC-T Model (#16402) · 119e3c0f
      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: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      
      * relposemb fixes
      
      * conv1d name issue; expecting config fail with paraentheses
      
      * fix config issue
      
      * fix config issue
      
      * fix config issue
      
      * change everything to MCTCT
      
      * fixing naming change errors
      
      * archive list
      
      * copyrights and docs
      
      * copyrights and docs
      
      * copyrights and docs
      
      * merge resolution
      
      * move tests, fix to changed optionaldependency structure
      
      * test directories changed
      
      * fixing tests
      
      * how to avoid tf tests?
      
      * how to avoid tf tests?
      
      * tests passing locally
      
      * allow mctctprocessor imported any env
      
      * allow mctctprocessor imported any env
      
      * fixed second round of feedback, need to fix docs
      
      * doc changes not being applied
      
      * all fixed
      
      * style fix
      
      * feedback fixes
      
      * fix copies and feature extraction style fix
      
      * Update tests/models/visual_bert/test_modeling_visual_bert.py
      Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      
      * copy paste huggingface:main visual bert
      
      * added eof newline to visual bert; all tests are passing otherwise
      
      * fix slow tests by adding attention mask
      
      * change model id to speechbrain
      
      * make fix-copies
      
      * fix readme unwanted deletes
      
      * fixing readmes, make fix-copies
      
      * consistent M-CTC-T naming
      
      * Update src/transformers/models/mctct/__init__.py
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      
      * all fixed but variable naming
      
      * adjust double quotes
      
      * fixed variable names
      
      * copyright and mr quilter
      
      * Apply suggestions from code review
      Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      
      * correct slow tests
      
      * make fix-copies
      
      * Update src/transformers/models/mctct/configuration_mctct.py
      Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      
      * Update src/transformers/models/mctct/configuration_mctct.py
      Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      
      * m-ctc-t not mctct
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      119e3c0f
  26. 03 Jun, 2022 1 commit
  27. 02 Jun, 2022 3 commits
  28. 31 May, 2022 1 commit
    • Arthur's avatar
      Opt in flax and tf (#17388) · 7822a9b7
      Arthur authored
      
      
      * initial commit
      
      * add init file
      
      * update globakl init
      
      * update index and dummy objects
      
      * style
      
      * update modelling auto
      
      * fix initi typo in src/transformers
      
      * fix typo in modeling tf auto, opt was in wrong mapping name
      
      * fixed a slow test : saved_model
      
      * style
      
      * fix positionnal embedding if no position id is provided
      
      * update tf test
      
      * update test flax requirements
      
      * fixed serialization
      
      * update
      
      * update tf name to allow smooth convertion
      
      * update flax tests
      
      * style
      
      * fix test typo
      
      * fix tf typo test
      
      * add xla for generate support in causal LM
      
      * fixed bug
      
      * cleaned tf tests
      
      * style
      
      * removed from PT for slow tests
      
      * fix typp
      
      * opt test as slow
      
      * trying to fix GPT2 undefined
      
      * correct documentation and add to test doc
      
      * update tf doc
      
      * fix doc
      
      * fake commit
      
      * Apply suggestions from code review
      Co-authored-by: default avatarJoao Gante <joaofranciscocardosogante@gmail.com>
      
      * update test based on review
      
      * merged main layer for functionning test
      
      * fixup + quality
      
      * Apply suggestions from code review
      Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      
      * update long comment
      
      * make fix copies
      Co-authored-by: default avatarArthur <arthur@huggingface.co>
      Co-authored-by: default avatarJoao Gante <joaofranciscocardosogante@gmail.com>
      Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      7822a9b7