1. 06 Jul, 2022 2 commits
  2. 04 Jul, 2022 3 commits
  3. 01 Jul, 2022 2 commits
  4. 30 Jun, 2022 2 commits
  5. 29 Jun, 2022 4 commits
  6. 28 Jun, 2022 3 commits
  7. 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
  8. 24 Jun, 2022 2 commits
  9. 23 Jun, 2022 2 commits
  10. 21 Jun, 2022 3 commits
  11. 15 Jun, 2022 2 commits
  12. 14 Jun, 2022 2 commits
  13. 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
    • Sijun He's avatar
      Add Visual Question Answering (VQA) pipeline (#17286) · 66336dc1
      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: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>
      
      * address comments
      
      * Update src/transformers/pipelines/visual_question_answering.py
      Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>
      
      * merge
      
      * Update src/transformers/models/auto/modeling_auto.py
      Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      
      * merge
      Co-authored-by: default avatarSijun He <sijunhe@Sijuns-MacBook-Pro.local>
      Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      66336dc1
  14. 09 Jun, 2022 4 commits
  15. 08 Jun, 2022 2 commits
  16. 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
  17. 03 Jun, 2022 3 commits