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  1. 09 Sep, 2022 1 commit
  3. 08 Sep, 2022 2 commits
    • NielsRogge's avatar
      Add X-CLIP (#18852) · bb6f6d53
      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
      bb6f6d53
    • Devlee247's avatar
      Fix LayoutXLM wrong link in README (#18932) · 9832ac7c
      Devlee247 authored 
      * fix LayoutXLM wrong link in README

* fix LayoutXLM worng link in index.mdx
      9832ac7c
  5. 02 Sep, 2022 2 commits
    • Steven Liu's avatar
      Update docs landing page (#18590) · bf9d5061
      Steven Liu authored 
      * 馃摑 update docs landing page

* 馃枍 apply feedbacks

* apply feedbacks

* apply feedbacks, use <br> for list
      bf9d5061
    • Jason Phang's avatar
      PEGASUS-X (#18551) · 53e33e6f
      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
      53e33e6f
  7. 01 Sep, 2022 1 commit
  9. 30 Aug, 2022 1 commit
  11. 24 Aug, 2022 1 commit
  13. 12 Aug, 2022 1 commit
    • NielsRogge's avatar
      Add Donut (#18488) · 2ab790e8
      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: default avatarNiels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
      2ab790e8
  15. 04 Aug, 2022 1 commit
    • NielsRogge's avatar
      Add VideoMAE (#17821) · f9a0008d
      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: default avatarNiels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
      f9a0008d
  17. 27 Jul, 2022 1 commit
    • Ritik Nandwal's avatar
      Add swin transformer v2 (#17469) · e87ac9d1
      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: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Undo changes for check_repo

* Update url in readme.md

* Remove overrided function to test pt_tf_model_equivalence

* Remove TF model imports for Swinv2 as its not implemented in this PR

* Add changes for index.mdx

* Add swinv2 papers link,abstract and contributors details

* Rename cpb_mlp to continous_position_bias_mlp

* Add tips for swinv2 model

* Update src/transformers/models/swinv2/configuration_swinv2.py
Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/swinv2/configuration_swinv2.py
Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Fix indentation for docstring example in src/transformers/models/swinv2/configuration_swinv2.py
Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update import order in src/transformers/models/swinv2/configuration_swinv2.py
Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Add copyright statements in weights conversion script.
Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Remove Swinv2 from models_not_in_readme

* Reformat code

* Remove TF implementation file for swinv2

* Update start docstring.
Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Add changes for docstring

* Update orgname for weights to microsoft

* Remove to_2tuple function

* Add copied from statements wherever applicable

* Add copied from to Swinv2ForMaskedImageModelling class

* Reformat code.
Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Add unittest.skip(with reason.) for test_inputs_embeds test case.
Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Add updates for test_modeling_swinv2.py

* Add @unittest.skip() annotation for clarity to create_and_test_config_common_properties function

* Add continuous_position_bias_mlp parameter to conversion script

* Add test for testing masked_image_modelling for swinv2

* Update Swinv2 to Swin Transformer v2 in docs/source/en/model_doc/swinv2.mdx
Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update Swinv2 to Swin Transformer v2 in docs/source/en/model_doc/swinv2.mdx
Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/model_doc/swinv2.mdx
Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/model_doc/swinv2.mdx
Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Add suggested changes

* Add copied from to forward methods of Swinv2Stage and Swinv2Encoder

* Add push_to_hub flag to weight conversion script

* Change order or Swinv2DropPath class

* Add id2label mapping for imagenet 21k

* Add updated url for SwinV2 functions and classes used in implementation

* Update input_feature dimensions format, mentioned in comments.
Co-authored-by: default avatarAlara 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: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add changes for making Nit objects in code style

* Add suggested changes

* Add suggested changes for test_modelling_swinv2

* make fix-copies

* Update docs/source/en/model_doc/swinv2.mdx
Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: default avatarAlara Dirik <8944735+alaradirik@users.noreply.github.com>
Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      e87ac9d1
  19. 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
  21. 21 Jul, 2022 1 commit
    • 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
  23. 18 Jul, 2022 1 commit
  25. 13 Jul, 2022 1 commit
  27. 04 Jul, 2022 1 commit
  29. 29 Jun, 2022 3 commits
  31. 28 Jun, 2022 1 commit
  33. 24 Jun, 2022 1 commit
    • rooa's avatar
      Add CodeGen model (#17443) · d6b6fb99
      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: default avatarPatrick von Platen <patrick.v.platen@gmail.com>

* increase vocab_size in tests
Co-authored-by: default avatarpatil-suraj <surajp815@gmail.com>
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      d6b6fb99
  35. 23 Jun, 2022 1 commit
  37. 21 Jun, 2022 1 commit
  39. 15 Jun, 2022 1 commit
  41. 13 Jun, 2022 1 commit
    • 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
  43. 09 Jun, 2022 1 commit
  45. 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
  47. 03 Jun, 2022 1 commit
    • Britney Muller's avatar
      Update index.mdx (#17547) · 72f5b949
      Britney Muller authored 
      This PR updates our Expert Acceleration Program image with a new image featuring our experts.

This is similar to our Transformers/README.md image update that has proven to be successful.
      72f5b949
  49. 02 Jun, 2022 1 commit
  51. 01 Jun, 2022 1 commit
  53. 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
  55. 24 May, 2022 2 commits
    • Jason Phang's avatar
      [WIP] Adding GPT-NeoX-20B (#16659) · 71e60272
      Jason Phang authored 
      

* initial

* first try

* working 20B

* 20B tokenizers

* Docs

* Import fixes for missing classes

* Update docs, fixup

* black formatting

* isort

* flake

* dummy objects

* documentation

* Documentation yml

* more docs

* tweaks for tests

* tokenization auto

* fix neox tests

* test

* test

* einsum

* address PR feedback

* Documentation

* Update README.md
Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/gpt_neox/__init__.py
Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/gpt_neox/configuration_gpt_neox.py
Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Apply suggestions from code review
Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Remove undefined LaTeX syntax

* Update to full url to avoid confusion about if that's supposed to refer to the Hub

* fix auto

* move tests

* documentation fix

* more doc fixes

* test refactor

* fix import

* fix import

* fix import

* fix import

* fix import

* style fixes

* More modeling fixes
Co-authored-by: default avatarJason Phang <zp489@gr057.hpc.nyu.edu>
Co-authored-by: default avatarStella Biderman <stellabiderman@gmail.com>
Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      71e60272
    • NielsRogge's avatar
      Add LayoutLMv3 (#17060) · 31ee80d5
      NielsRogge authored 
      

* Make forward pass work

* More improvements

* Remove unused imports

* Remove timm dependency

* Improve loss calculation of token classifier

* Fix most tests

* Add docs

* Add model integration test

* Make all tests pass

* Add LayoutLMv3FeatureExtractor

* Improve integration test + make fixup

* Add example script

* Fix style

* Add LayoutLMv3Processor

* Fix style

* Add option to add visual labels

* Make more tokenizer tests pass

* Fix more tests

* Make more tests pass

* Fix bug and improve docs

* Fix import of processors

* Improve docstrings

* Fix toctree and improve docs

* Fix auto tokenizer

* Move tests to model folder

* Move tests to model folder

* change default behavior add_prefix_space

* add prefix space for fast

* add_prefix_spcae set to True for Fast

* no space before `unique_no_split` token

* add test to hightligh special treatment of added tokens

* fix `test_batch_encode_dynamic_overflowing` by building a long enough example

* fix `test_full_tokenizer` with add_prefix_token

* Fix tokenizer integration test

* Make the code more readable

* Add tests for LayoutLMv3Processor

* Fix style

* Add model to README and update init

* Apply suggestions from code review

* Replace asserts by value errors

* Add suggestion by @ducviet00

* Add model to doc tests

* Simplify script

* Improve README

* a step ahead to fix

* Update pair_input_test

* Make all tokenizer tests pass - phew

* Make style

* Add LayoutLMv3 to CI job

* Fix auto mapping

* Fix CI job name

* Make all processor tests pass

* Make tests of LayoutLMv2 and LayoutXLM consistent

* Add copied from statements to fast tokenizer

* Add copied from statements to slow tokenizer

* Remove add_visual_labels attribute

* Fix tests

* Add link to notebooks

* Improve docs of LayoutLMv3Processor

* Fix reference to section
Co-authored-by: default avatarSaulLu <lucilesaul.com@gmail.com>
Co-authored-by: default avatarNiels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
      31ee80d5
  57. 23 May, 2022 1 commit
  59. 18 May, 2022 1 commit
  61. 17 May, 2022 1 commit
  63. 16 May, 2022 3 commits
  65. 12 May, 2022 1 commit