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  1. 24 Mar, 2023 1 commit
    • Mitch Naylor's avatar
      Add Mega: Moving Average Equipped Gated Attention (#21766) · 57f25f4b
      Mitch Naylor authored 
      

* add mega file structure and plain pytorch version of mega source code

* added config class with old naming conventions

* filled in mega documentation

* added config class and embeddings with optional token types

* updated notes

* starting the conversion process, deleted intermediate and added use_cache back to config

* renamed config attributes in modeling_mega.py

* checkpointing before refactoring incremental decoding functions

* removed stateful incremental key/values for EMA and self-attention

* refactored MovingAverageGatedAttention to remove stateful k/v history and use unified attention mask

* MovingAverageGatedAttention works with incremental decoding + past values, added sequence length enforcement

* more comments in MovingAverageGatedAttention + checkpointing before GatedCrossAttention

* bug fix in attention mask handling in MovingAverageGatedAttention

* removed incremental state from GatedCrossAttention and removed IncrementalState class

* finished gated cross attention and got MegaLayer working

* fixed causal masking in mega decoder

* fixed how padding and causal masks are passed through MegaLayer with and without k/v caching

* finished MegaModel; tested with encoder, decoder-only, and cross-attention type inputs; started work on downstream classes; removed mentions of position_ids

* added optional dense hidden layer for masked and causal LM classes

* docstring updates in MultiHeadEMA and GatedCrossAttention, removed unnecessary inputs in cross-attention

* removed before_attn_fn in Mega class and updated docstrings and comments up to there

* bug fix in MovingAverageGatedAttention masking

* working conversion of MLM checkpoint in scratchpad script -- perfect matches

* moved arg for hidden dense layer in LM head to config; discovered issue where from_pretrained is renaming gamma and beta parameters

* renamed gamma and beta parameters to avoid HF renaming when loading from checkpoint

* finished checkpoint conversion script

* cleanup old class in mega config script

* removed 'copied from' statements and passing integration tests

* added num_attention_heads=1 to config for integration compatibility, decoder tests working, generation tests failing

* fixed tuple output of megamodel

* all common tests passing after fixing issues in decoder, gradient retention, and initialization

* added mega-specific tests, ready for more documentation and style checks

* updated docstrings; checkpoint before style fixes

* style and quality checks, fixed initialization problem in float_tensor, ready for PR

* added mega to toctree

* removed unnecessary arg in megaconfig

* removed unused arg and fixed code samples with leftover roberta models

* Apply suggestions from code review

Applied all suggestions except the one renaming a class, as I'll need to update that througout
Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>

* fixed issue where .view breaks batch dimension, conversion script fixed with absolute imports, updated readme with Mega->MEGA

* removed asserts in Mega code, renamed sequencenorm, gatedcrossattention, and NFFN, replaced get_activation_fn with ACTFN, and added sequencenorm to layer norms

* reformatted .forward() docstrings to match style and removed unused mask input in cross-attention

* removed all reset_parameters() methods and rolled into MegaPreTrainedModel._init_weights()

* renamed all single-letter variables and improved readability in tensor size comments, Mega->MEGA in 2 documentation files

* variable names in NFFN

* manual Mega->MEGA changes in docs

* Mega->MEGA in config auto

* style and quality fixes

* Apply suggestions from code review
Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>

* renamed parameters and variables with confusing names, added copied from statements, moved fft conv to its own method, other cleanup from PR comments

* commit before dealing with merge conflicts

* made new attention activation functions available in ACT2FN and added generation test from OPT

* style and quality in activations and tests

* documentation fixes, renaming variables in dropout and rotary positions, used built-in causal masking, encoders->layers in MegaModel, moved comments into docstrings

* style and quality fixes after latest updates, before rotary position ids

* causal mask in MegaBlock docstring + added missing device passing

* Apply suggestions from code review
Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>

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

* added Mega prefixes where missing, reverted MegaSequenceNorm to if-else, other module renaming requested in PR

* style and quality fixes + readme updates pointing to main

---------
Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      57f25f4b
  3. 20 Mar, 2023 1 commit
  5. 17 Mar, 2023 2 commits
  7. 16 Mar, 2023 1 commit
    • Jason Phang's avatar
      LLaMA Implementation (#21955) · 0041be5b
      Jason Phang authored 
      

* LLaMA

* sharding and docs

* tweak

* black

* inits

* ruff

* LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP

* init

* no checkpoint

* docs

* ruff

* type_vocab_size

* tokenizer fixes

* tokenizer fixes

* Update tokenization_llama.py

* Update tokenization_llama.py

* Update configuration_llama.py

* Update modeling_llama.py

* tokenizer add_bos by default

* licenses

* remove decoder

* norms and mlp

* rope overhaul

* tweaks

* black

* mention OPT implementation

* off-by-one naming

* typo

* fix

* tokenization fix and slicing bug

* padding config

* cleanup

* black

* update tests

* undo typo

* fix vocab caching logic

* ruff

* docbuilder

* attn fix from BlackSamorez

* initial feedback

* typo

* docs

* llama case

* llama case

* load checkpoint docs

* comment about tokenizer

* tokenizer defaults

* clear past_key_values if use_cache=False

* last tweaks

* last tweaks

* last tweaks

* last tweaks

---------
Co-authored-by: default avatarStella Biderman <stellabiderman@gmail.com>
      0041be5b
  9. 14 Mar, 2023 1 commit
  11. 13 Mar, 2023 1 commit
  13. 07 Mar, 2023 1 commit
  15. 06 Mar, 2023 1 commit
  17. 28 Feb, 2023 1 commit
  19. 27 Feb, 2023 1 commit
  21. 22 Feb, 2023 1 commit
  23. 20 Feb, 2023 2 commits
    • Alara Dirik's avatar
      Add EfficientNet (#21563) · 49ab1623
      Alara Dirik authored 
      * Add EfficientNet to transformers
      49ab1623
    • tanreinama's avatar
      add GPTSAN model (reopen) (#21291) · f56174ac
      tanreinama authored 
      * add GPTSAN-Japanese

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN (update for review)

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* fix typo in comment text

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* fix document and comments

* fix class name GPTSAN->GPTSan

* fix import and test for tokenizer
      f56174ac
  25. 15 Feb, 2023 1 commit
    • Susnato Dhar's avatar
      Add Ernie-M Model to huggingface (#21349) · 0c9c8472
      Susnato Dhar authored 
      * config and tokenization(fast too) changed and ErnieEncoder added

* Slow Tokenization Added

* Tokenizer(slow) is now working and Fast Tokenizer removed

* Added Config code

* Added Base Model and utils

* ErnieMModel is now working

* All added except tests

* All tests passed except ErnieUIEM

* All tests passed

* all fixes done

* all fixes done

* fixed MAP

* fixed check_code_quality

* fixed Build PR Documentation issue

* Added changes(comments) and also updated to the latest upstream/main

* Added fixup

* Added # Copied comments

* Added fixup

* Added more comments and some nits

* Added fixup

* Fixed README_hd.md

* Added more fixes

* ErnieMTokenizer (being sentencepiece) protected and other docs edited

* Added code_quality fix

* Fixed for

* Added more fix

* modified AZ

* ernie-m tokenization test added!

* attention mask part fixed(with 0->self.config.pad_token_id)

* applied make fixup
      0c9c8472
  27. 14 Feb, 2023 1 commit
  29. 13 Feb, 2023 1 commit
  31. 10 Feb, 2023 2 commits
  33. 06 Feb, 2023 1 commit
    • Sylvain Gugger's avatar
      Update quality tooling for formatting (#21480) · 6f79d264
      Sylvain Gugger authored 
      * Result of black 23.1

* Update target to Python 3.7

* Switch flake8 to ruff

* Configure isort

* Configure isort

* Apply isort with line limit

* Put the right black version

* adapt black in check copies

* Fix copies
      6f79d264
  35. 02 Feb, 2023 1 commit
  37. 31 Jan, 2023 1 commit
    • NielsRogge's avatar
      Add DETA (#20983) · 5451f889
      NielsRogge authored 
      * First draft

* Add initial draft of conversion script

* Convert all weights

* Fix config

* Add image processor

* Fix DetaImageProcessor

* Run make fix copies

* Remove timm dependency

* Fix dummy objects

* Improve loss function

* Remove conv_encoder attribute

* Update conversion scripts

* Improve postprocessing + docs

* Fix copied from statements

* Add tests

* Improve postprocessing

* Improve postprocessing

* Update READMEs

* More improvements

* Fix rebase

* Add is_torchvision_available

* Add torchvision dependency

* Fix typo and README

* Fix bug

* Add copied from

* Fix style

* Apply suggestions

* Fix thanks to @ydshieh

* Fix another dependency check

* Simplify image processor

* Add scipy

* Improve code

* Add threshold argument

* Fix bug

* Set default threshold

* Improve integration test

* Add another integration test

* Update setup.py

* Address review

* Improve deformable attention function

* Improve copied from

* Use relative imports

* Address review

* Replace assertions

* Address review

* Update dummies

* Remove dummies

* Address comments, update READMEs

* Remove custom kernel code

* Add image processor tests

* Add requires_backends

* Add minor comment

* Update scripts

* Update organization name

* Fix defaults, add doc tests

* Add id2label for object 365

* Fix tests

* Update task guide
      5451f889
  39. 27 Jan, 2023 1 commit
    • Maria Khalusova's avatar
      Automated compatible models list for task guides (#21338) · 73a2ff69
      Maria Khalusova authored 
      * initial commit. added tip placeholders and a script

* removed unused imports, fixed paths

* fixed generated links

* make style

* split language modeling doc into two: causal language modeling and masked language modeling

* added check_task_guides.py to make fix-copies

* review feedback addressed
      73a2ff69
  41. 25 Jan, 2023 1 commit
    • Maria Khalusova's avatar
      Documentation code sample fixes (#21302) · 23844941
      Maria Khalusova authored 
      * Fixed the following:
pipe -> pipeline
out in pipe(data()) is a list of dict, not a dict

* Fixed the TypeError: __init__() missing 1 required positional argument: 'key'

* Added a tip: code sample requires additional libraries to run

* Fixed custom config's name

* added seqeval to the required libraries

* fixed a missing dependency,
fixed metric naming,
added checkpoint to fix the datacollator

* added checkpoint to fix the datacollator,
added missing dependency
      23844941
  43. 23 Jan, 2023 1 commit
  45. 17 Jan, 2023 1 commit
  47. 04 Jan, 2023 2 commits
  49. 12 Dec, 2022 1 commit
  51. 30 Nov, 2022 1 commit
  53. 21 Nov, 2022 1 commit
    • Steven Liu's avatar
      Add inference section to task guides (#18781) · d896029e
      Steven Liu authored 
      * 📝 start adding inference section to task guides

* ✨ make style

* 📝 add multiple choice

* add rest of inference sections

* make style

* add compute_metric, push_to_hub, pipeline

* make style

* add updated sequence and token classification

* make style

* make edits in token classification

* add audio classification

* make style

* add asr

* make style

* add image classification

* make style

* add summarization

* make style

* add translation

* make style

* add multiple choice

* add language modeling

* add qa

* make style

* review and edits

* apply reviews

* make style

* fix call to processor

* apply audio reviews

* update to better asr model

* make style
      d896029e
  55. 07 Nov, 2022 1 commit
  57. 02 Nov, 2022 1 commit
    • amyeroberts's avatar
      Add Image Processors (#19796) · a6b77598
      amyeroberts authored 
      

* Add CLIP image processor

* Crop size as dict too

* Update warning

* Actually use logger this time

* Normalize doesn't change dtype of input

* Add perceiver image processor

* Tidy up

* Add DPT image processor

* Add Vilt image processor

* Tidy up

* Add poolformer image processor

* Tidy up

* Add LayoutLM v2 and v3 imsge processors

* Tidy up

* Add Flava image processor

* Tidy up

* Add deit image processor

* Tidy up

* Add ConvNext image processor

* Tidy up

* Add levit image processor

* Add segformer image processor

* Add in post processing

* Fix up

* Add ImageGPT image processor

* Fixup

* Add mobilevit image processor

* Tidy up

* Add postprocessing

* Fixup

* Add VideoMAE image processor

* Tidy up

* Add ImageGPT image processor

* Fixup

* Add ViT image processor

* Tidy up

* Add beit image processor

* Add mobilevit image processor

* Tidy up

* Add postprocessing

* Fixup

* Fix up

* Fix flava and remove tree module

* Fix image classification pipeline failing tests

* Update feature extractor in trainer scripts

* Update pad_if_smaller to accept tuple and int size

* Update for image segmentation pipeline

* Update src/transformers/models/perceiver/image_processing_perceiver.py
Co-authored-by: default avatarAlara Dirik <8944735+alaradirik@users.noreply.github.com>

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

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

* PR comments - docstrings; remove accidentally added resize; var names

* Update docstrings

* Add exception if size is not in the right format

* Fix exception check

* Fix up

* Use shortest_edge in tuple in script
Co-authored-by: default avatarAlara Dirik <8944735+alaradirik@users.noreply.github.com>
Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>
      a6b77598
  59. 01 Nov, 2022 1 commit
  61. 26 Sep, 2022 1 commit
  63. 12 Sep, 2022 1 commit
  65. 07 Sep, 2022 1 commit
  67. 02 Sep, 2022 1 commit
  69. 29 Jul, 2022 1 commit
  71. 26 Jul, 2022 1 commit