1. 18 Jul, 2023 1 commit
  2. 17 Jul, 2023 1 commit
  3. 13 Jul, 2023 1 commit
  4. 10 Jul, 2023 1 commit
  5. 20 Jun, 2023 1 commit
  6. 13 Jun, 2023 2 commits
  7. 12 Jun, 2023 1 commit
  8. 09 Jun, 2023 1 commit
    • Lysandre Debut's avatar
      Tool types (#24032) · deff5979
      Lysandre Debut authored
      * Tool types
      
      * Tests + fixes
      
      * Isolate types
      
      * Oops
      
      * Review comments + docs
      
      * Tests + docs
      
      * soundfile -> vision
      deff5979
  9. 07 Jun, 2023 1 commit
  10. 01 Jun, 2023 1 commit
  11. 30 May, 2023 1 commit
  12. 26 May, 2023 1 commit
  13. 24 May, 2023 1 commit
    • Tim Dettmers's avatar
      4-bit QLoRA via bitsandbytes (4-bit base model + LoRA) (#23479) · 9d73b922
      Tim Dettmers authored
      
      
      * Added lion and paged optimizers and made original tests pass.
      
      * Added tests for paged and lion optimizers.
      
      * Added and fixed optimizer tests.
      
      * Style and quality checks.
      
      * Initial draft. Some tests fail.
      
      * Fixed dtype bug.
      
      * Fixed bug caused by torch_dtype='auto'.
      
      * All test green for 8-bit and 4-bit layers.
      
      * Added fix for fp32 layer norms and bf16 compute in LLaMA.
      
      * Initial draft. Some tests fail.
      
      * Fixed dtype bug.
      
      * Fixed bug caused by torch_dtype='auto'.
      
      * All test green for 8-bit and 4-bit layers.
      
      * Added lion and paged optimizers and made original tests pass.
      
      * Added tests for paged and lion optimizers.
      
      * Added and fixed optimizer tests.
      
      * Style and quality checks.
      
      * Fixing issues for PR #23479.
      
      * Added fix for fp32 layer norms and bf16 compute in LLaMA.
      
      * Reverted variable name change.
      
      * Initial draft. Some tests fail.
      
      * Fixed dtype bug.
      
      * Fixed bug caused by torch_dtype='auto'.
      
      * All test green for 8-bit and 4-bit layers.
      
      * Added lion and paged optimizers and made original tests pass.
      
      * Added tests for paged and lion optimizers.
      
      * Added and fixed optimizer tests.
      
      * Style and quality checks.
      
      * Added missing tests.
      
      * Fixup changes.
      
      * Added fixup changes.
      
      * Missed some variables to rename.
      
      * revert trainer tests
      
      * revert test trainer
      
      * another revert
      
      * fix tests and safety checkers
      
      * protect import
      
      * simplify a bit
      
      * Update src/transformers/trainer.py
      
      * few fixes
      
      * add warning
      
      * replace with `load_in_kbit = load_in_4bit or load_in_8bit`
      
      * fix test
      
      * fix tests
      
      * this time fix tests
      
      * safety checker
      
      * add docs
      
      * revert torch_dtype
      
      * Apply suggestions from code review
      Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      
      * multiple fixes
      
      * update docs
      
      * version checks and multiple fixes
      
      * replace `is_loaded_in_kbit`
      
      * replace `load_in_kbit`
      
      * change methods names
      
      * better checks
      
      * oops
      
      * oops
      
      * address final comments
      
      ---------
      Co-authored-by: default avataryounesbelkada <younesbelkada@gmail.com>
      Co-authored-by: default avatarYounes Belkada <49240599+younesbelkada@users.noreply.github.com>
      Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      9d73b922
  14. 18 May, 2023 1 commit
  15. 11 May, 2023 1 commit
  16. 10 May, 2023 1 commit
    • Sylvain Gugger's avatar
      Test composition (#23214) · 33357243
      Sylvain Gugger authored
      
      
      * Remove nestedness in tool config
      
      * Really do it
      
      * Use remote tools descriptions
      
      * Work
      
      * Clean up eval
      
      * Changes
      
      * Tools
      
      * Tools
      
      * tool
      
      * Fix everything
      
      * Use last result/assign for evaluation
      
      * Prompt
      
      * Remove hardcoded selection
      
      * Evaluation for chat agents
      
      * correct some spelling
      
      * Small fixes
      
      * Change summarization model (#23172)
      
      * Fix link displayed
      
      * Update description of the tool
      
      * Fixes in chat prompt
      
      * Custom tools, custom prompt
      
      * Tool clean up
      
      * save_pretrained and push_to_hub for tool
      
      * Fix init
      
      * Tests
      
      * Fix tests
      
      * Tool save/from_hub/push_to_hub and tool->load_tool
      
      * Clean push_to_hub and add app file
      
      * Custom inference API for endpoints too
      
      * Clean up
      
      * old remote tool and new remote tool
      
      * Make a requirements
      
      * return_code adds tool creation
      
      * Avoid redundancy between global variables
      
      * Remote tools can be loaded
      
      * Tests
      
      * Text summarization tests
      
      * Quality
      
      * Properly mark tests
      
      * Test the python interpreter
      
      * And the CI shall be green.
      
      * fix loading of additional tools
      
      * Work on RemoteTool and fix tests
      
      * General clean up
      
      * Guard imports
      
      * Fix tools
      
      * docs: Fix broken link in 'How to add a model...'  (#23216)
      
      fix link
      
      * Get default endpoint from the Hub
      
      * Add guide
      
      * Simplify tool config
      
      * Docs
      
      * Some fixes
      
      * Docs
      
      * Docs
      
      * Docs
      
      * Fix code returned by agent
      
      * Try this
      
      * Match args with signature in remote tool
      
      * Should fix python interpreter for Python 3.8
      
      * Fix push_to_hub for tools
      
      * Other fixes to push_to_hub
      
      * Add API doc page
      
      * Docs
      
      * Docs
      
      * Custom tools
      
      * Pin tensorflow-probability (#23220)
      
      * Pin tensorflow-probability
      
      * [all-test]
      
      * [all-test] Fix syntax for bash
      
      * PoC for some chaining API
      
      * Text to speech
      
      * J'ai pris des libert茅s
      
      * Rename
      
      * Basic python interpreter
      
      * Add agents
      
      * Quality
      
      * Add translation tool
      
      * temp
      
      * GenQA + LID + S2T
      
      * Quality + word missing in translation
      
      * Add open assistance, support f-strings in evaluate
      
      * captioning + s2t fixes
      
      * Style
      
      * Refactor descriptions and remove chain
      
      * Support errors and rename OpenAssistantAgent
      
      * Add setup
      
      * Deal with typos + example of inference API
      
      * Some rename + README
      
      * Fixes
      
      * Update prompt
      
      * Unwanted change
      
      * Make sure everyone has a default
      
      * One prompt to rule them all.
      
      * SD
      
      * Description
      
      * Clean up remote tools
      
      * More remote tools
      
      * Add option to return code and update doc
      
      * Image segmentation
      
      * ControlNet
      
      * Gradio demo
      
      * Diffusers protection
      
      * Lib protection
      
      * ControlNet description
      
      * Cleanup
      
      * Style
      
      * Remove accelerate and try to be reproducible
      
      * No randomness
      
      * Male Basic optional in token
      
      * Clean description
      
      * Better prompts
      
      * Fix args eval in interpreter
      
      * Add tool wrapper
      
      * Tool on the Hub
      
      * Style post-rebase
      
      * Big refactor of descriptions, batch generation and evaluation for agents
      
      * Make problems easier - interface to debug
      
      * More problems, add python primitives
      
      * Back to one prompt
      
      * Remove dict for translation
      
      * Be consistent
      
      * Add prompts
      
      * New version of the agent
      
      * Evaluate new agents
      
      * New endpoints agents
      
      * Make all tools a dict variable
      
      * Typo
      
      * Add problems
      
      * Add to big prompt
      
      * Harmonize
      
      * Add tools
      
      * New evaluation
      
      * Add more tools
      
      * Build prompt with tools descriptions
      
      * Tools on the Hub
      
      * Let's chat!
      
      * Cleanup
      
      * Temporary bs4 safeguard
      
      * Cache agents and clean up
      
      * Blank init
      
      * Fix evaluation for agents
      
      * New format for tools on the Hub
      
      * Add method to reset state
      
      * Remove nestedness in tool config
      
      * Really do it
      
      * Use remote tools descriptions
      
      * Work
      
      * Clean up eval
      
      * Changes
      
      * Tools
      
      * Tools
      
      * tool
      
      * Fix everything
      
      * Use last result/assign for evaluation
      
      * Prompt
      
      * Remove hardcoded selection
      
      * Evaluation for chat agents
      
      * correct some spelling
      
      * Small fixes
      
      * Change summarization model (#23172)
      
      * Fix link displayed
      
      * Update description of the tool
      
      * Fixes in chat prompt
      
      * Custom tools, custom prompt
      
      * Tool clean up
      
      * save_pretrained and push_to_hub for tool
      
      * Fix init
      
      * Tests
      
      * Fix tests
      
      * Tool save/from_hub/push_to_hub and tool->load_tool
      
      * Clean push_to_hub and add app file
      
      * Custom inference API for endpoints too
      
      * Clean up
      
      * old remote tool and new remote tool
      
      * Make a requirements
      
      * return_code adds tool creation
      
      * Avoid redundancy between global variables
      
      * Remote tools can be loaded
      
      * Tests
      
      * Text summarization tests
      
      * Quality
      
      * Properly mark tests
      
      * Test the python interpreter
      
      * And the CI shall be green.
      
      * Work on RemoteTool and fix tests
      
      * fix loading of additional tools
      
      * General clean up
      
      * Guard imports
      
      * Fix tools
      
      * Get default endpoint from the Hub
      
      * Simplify tool config
      
      * Add guide
      
      * Docs
      
      * Some fixes
      
      * Docs
      
      * Docs
      
      * Fix code returned by agent
      
      * Try this
      
      * Docs
      
      * Match args with signature in remote tool
      
      * Should fix python interpreter for Python 3.8
      
      * Fix push_to_hub for tools
      
      * Other fixes to push_to_hub
      
      * Add API doc page
      
      * Fixes
      
      * Doc fixes
      
      * Docs
      
      * Fix audio
      
      * Custom tools
      
      * Audio fix
      
      * Improve custom tools docstring
      
      * Docstrings
      
      * Trigger CI
      
      * Mode docstrings
      
      * More docstrings
      
      * Improve custom tools
      
      * Fix for remote tools
      
      * Style
      
      * Fix repo consistency
      
      * Quality
      
      * Tip
      
      * Cleanup on doc
      
      * Cleanup toc
      
      * Add disclaimer for starcoder vs openai
      
      * Remove disclaimer
      
      * Small fixed in the prompts
      
      * 4.29
      
      * Update src/transformers/tools/agents.py
      Co-authored-by: default avatarLysandre Debut <lysandre.debut@reseau.eseo.fr>
      
      * Complete documentation
      
      * Small fixes
      
      * Agent evaluation
      
      * Note about gradio-tools & LC
      
      * Clean up agents and prompt
      
      * Apply suggestions from code review
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      
      * Apply suggestions from code review
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      
      * Note about gradio-tools & LC
      
      * Add copyrights and address review comments
      
      * Quality
      
      * Add all language codes
      
      * Add remote tool tests
      
      * Move custom prompts to other docs
      
      * Apply suggestions from code review
      Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>
      
      * TTS tests
      
      * Quality
      
      ---------
      Co-authored-by: default avatarLysandre <hi@lyand.re>
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      Co-authored-by: default avatarPhilipp Schmid <32632186+philschmid@users.noreply.github.com>
      Co-authored-by: default avatarConnor Henderson <connor.henderson@talkiatry.com>
      Co-authored-by: default avatarLysandre <lysandre.debut@reseau.eseo.fr>
      Co-authored-by: default avatarLysandre <lysandre@huggingface.co>
      Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>
      33357243
  17. 09 May, 2023 1 commit
  18. 12 Apr, 2023 1 commit
  19. 10 Apr, 2023 1 commit
  20. 30 Mar, 2023 1 commit
  21. 22 Mar, 2023 2 commits
  22. 13 Mar, 2023 1 commit
  23. 07 Mar, 2023 1 commit
    • Eli Simhayev's avatar
      [Time-Series] informer model (#21099) · 8abe4930
      Eli Simhayev authored
      * added informer to gitignore
      
      * added informer to gitignore
      
      * WIP informer2020
      
      * added checking that instantiate works
      
      * added config using gluonTS by kashif
      
      * WIP config
      
      * adding informeConfig. need to remove FeatureEmbedder
      
      * done InformerConfig, but need to change the names
      
      * Done informer model init. working on enc-dec
      
      * added things to address, after reading again enc-dec in the paper
      
      * done modeling - checking initialization work
      
      * added informer to gitignore
      
      * WIP informer2020
      
      * added checking that instantiate works
      
      * added config using gluonTS by kashif
      
      * WIP config
      
      * adding informeConfig. need to remove FeatureEmbedder
      
      * done InformerConfig, but need to change the names
      
      * Done informer model init. working on enc-dec
      
      * added things to address, after reading again enc-dec in the paper
      
      * done modeling - checking initialization work
      
      * moved enc-dec init to InformerEncoder/Decoder init
      
      * added 'init_std' to config, now model init works!
      
      * WIP conversion script, and added code sources
      
      * WIP conversion script: loading original informer pth works
      
      * WIP conversion script: change defaults in the config
      
      * WIP conversion script: supporting Informer input embedding
      
      * WIP conversion script: added parameters for the informer embed
      
      * WIP conversion script: change dim_feedforward=2048
      
      * WIP conversion script: remove unused args for loading checkpoint
      
      * just cleaning up
      
      * DataEmbedding removed, after thinking with Kashif
      
      * working on forward pass
      
      * WIP forward pass: trying to establish working batch for forward pass
      
      * cleaning and finalizing
      
      * adding HF names and docs
      
      * init after cleaning works
      
      * WIP in tests
      
      * added docs for the informer specific args
      
      * fix style
      
      * undo change
      
      * cleaning informer, now need to work only enc-dec
      
      * initial enc-dec classes
      
      * added encoder and decoder
      
      * added todo
      
      * add todos for conv_layers
      
      * added decoder docs from vanilla
      
      * added encoder docs from vanilla
      
      * remove encoder decoder from the original informer
      
      * removed AttentionLayer from the original paper
      
      * removed TriangularCausalMask, same as decoder_attention_mask
      
      * initial sparse attention
      
      * use conv_layers
      
      * fixed test_config test
      
      * fix parenthesis when itearting zip(layers, conv_layers)
      
      * error found in prob attention, added sizes as comments
      
      * fix sizes
      
      * added proposal for q_reduce indexing, and remove unused
      
      * WIP ProbMask, and changed factor=2 for testing
      
      * remove unused libs for this PR for creating the env
      
      * fix checking the attn_weights.size() after bmm
      
      * Q_reduce: changed from torch.gather to simple slicing
      
      * WIP calculate final attn_output
      
      * finish adding v_aggregated, attn_output ready
      
      * changed tgt_len to u in attention_mask, need to fix the size error
      
      * comment attention_mask for encoder, and fix if cond for v_agg
      
      * added ProbMask support (wip), removed old original code
      
      * finished ProbMask 馃槂
      
      
      
      * Revert "remove unused libs for this PR for creating the env"
      
      This reverts commit 11a081e09e92771e51a5d2758d53a9afb59547f0.
      
      * fixes
      
      * make style
      
      * fix initial tests
      
      * fix more tests
      
      * dry
      
      * make style
      
      * remove unused files
      
      * style
      
      * added integration tests
      
      * fix num_static_real_features
      
      * fix header
      
      * remove unused function
      
      * fix example
      
      * fix docs
      
      * Update src/transformers/models/informer/configuration_informer.py
      Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>
      
      * Update src/transformers/models/informer/modeling_informer.py
      Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>
      
      * Update src/transformers/models/informer/configuration_informer.py
      Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>
      
      * Update src/transformers/models/informer/configuration_informer.py
      Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>
      
      * Update src/transformers/models/informer/configuration_informer.py
      Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>
      
      * Update src/transformers/models/informer/configuration_informer.py
      Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>
      
      * fixes for reviewer
      
      * use prediction_length from model
      
      * fix style
      
      * fixed informer.mdx
      
      * added to index
      
      * updated readme
      
      * undo
      
      * make fix-copies
      
      * typo
      
      * fix copy
      
      * added Informer to toctree
      
      * in order
      
      * fixed comments
      
      * remove unneeded new lines in docs
      
      * make static real and cat optional
      
      * fix use of distil conv layers
      
      * fixed integration test
      
      * added checkpoint for convlayer
      
      * make fix-copies
      
      * updated from time series model
      
      * make fix-copies
      
      * copy decoder
      
      * fix unit tests
      
      * updated scaling config
      
      * fix integration tests
      
      * IGNORE_NON_TESTED
      
      * IGNORE_NON_AUTO_CONFIGURED
      
      * IGNORE_NON_AUTO_CONFIGURED
      
      * updated check configs
      
      * fix formatting
      
      * undo change from time series
      
      * prediction_length should not be None
      
      * aliign with the blog: prettify ProbSparse and change attention_factor  to sampling_factor
      
      * make style
      
      * make fix-copies
      
      * niels CR: update contributed by
      
      * niels CR: update configuration_informer.py
      Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>
      
      * niels CR: update kashif -> huggingface
      Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>
      
      * niels CR: `sampling_factor` only relevant when `attention_type`=prob
      
      * make style
      
      * fixed U_part: added multiplication by `L_Q`
      
      * fixed bug: remove `is not None` from `if config.distil`
      
      * fixed test: `decoder_seq_length` to `encoder_seq_length` in cross_attentions check
      
      * fix integration tests
      
      * updated model hub
      
      * do not shift as in training
      
      * undo
      
      * fix make-copies
      
      * make fix-copies
      
      * added `if prediction_length is None`
      
      * changed `ProbSparseAttention` to `InformerProbSparseAttention`
      
      * changed `V_sum` -> `v_mean_dim_time`
      
      * changed `ConvLayer` to `InformerConvLayer` and fixed `super()`
      
      * TimeSeriesTansformer->Informer in decoder's Copied from
      
      * more descriptive in ProbSparse
      
      * make style
      
      * fix coped from
      
      * Revert "added `if prediction_length is None`"
      
      This reverts commit b4cbddfa05e3bd739b79569cd3c3b89e316f2451.
      
      * fixed indent
      
      * use InformerSinusoidalPositionalEmbedding
      
      * make fix-style
      
      * fix from #21860
      
      * fix name
      
      * make fix-copies
      
      * use time series utils
      
      * fix dec num_heads
      
      * docstring
      
      * added time series util doc
      
      * _import_structure
      
      * formatting
      
      * changes from review
      
      * make style
      
      * fix docs
      
      * fix doc
      
      * removed NegativeLogLikelihood
      
      ---------
      Co-authored-by: default avatarKashif Rasul <kashif.rasul@gmail.com>
      Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>
      8abe4930
  24. 01 Mar, 2023 2 commits
  25. 27 Feb, 2023 2 commits
  26. 17 Feb, 2023 1 commit
  27. 13 Feb, 2023 1 commit
  28. 10 Feb, 2023 1 commit
  29. 08 Feb, 2023 1 commit
  30. 07 Feb, 2023 1 commit
    • Adrian Sager La Ganga's avatar
      Add inverse sqrt learning rate scheduler (#21495) · a3034c70
      Adrian Sager La Ganga authored
      * added inverse sqrt lr scheduler
      
      * Updated get_scheduler in src/transformers/optimization.py
      
      * Updated src/transformers/__init__.py
      
      * Added inverse sqrt lr scheduler test
      
      * Updated docs/source/en/main_classes/optimizer_schedules.mdx
      
      * Ran style and quality scripts
      
      * Fix get_inverse_sqrt_schedule docstring
      
      * Comment implementation URL
      a3034c70
  31. 06 Feb, 2023 1 commit
  32. 03 Feb, 2023 1 commit
    • Matthijs Hollemans's avatar
      [WIP] add SpeechT5 model (#18922) · e4bacf66
      Matthijs Hollemans authored
      * make SpeechT5 model by copying Wav2Vec2
      
      * add paper to docs
      
      * whoops added docs in wrong file
      
      * remove SpeechT5Tokenizer + put CTC back in the name
      
      * remove deprecated class
      
      * remove unused docstring
      
      * delete SpeechT5FeatureExtractor, use Wav2Vec2FeatureExtractor instead
      
      * remove classes we don't need right now
      
      * initial stab at speech encoder prenet
      
      * add more speech encoder prenet stuff
      
      * improve SpeechEncoderPrenet
      
      * add encoder (not finished yet)
      
      * add relative position bias to self-attention
      
      * add encoder CTC layers
      
      * fix formatting
      
      * add decoder from BART, doesn't work yet
      
      * make it work with generate loop
      
      * wrap the encoder into a speech encoder class
      
      * wrap the decoder in a text decoder class
      
      * changed my mind
      
      * changed my mind again ;-)
      
      * load decoder weights, make it work
      
      * add weights for text decoder postnet
      
      * add SpeechT5ForCTC model that uses only the encoder
      
      * clean up EncoderLayer and DecoderLayer
      
      * implement _init_weights in SpeechT5PreTrainedModel
      
      * cleanup config + Encoder and Decoder
      
      * add head + cross attention masks
      
      * improve doc comments
      
      * fixup
      
      * more cleanup
      
      * more fixup
      
      * TextDecoderPrenet works now, thanks Kendall
      
      * add CTC loss
      
      * add placeholders for other pre/postnets
      
      * add type annotation
      
      * fix freeze_feature_encoder
      
      * set padding tokens to 0 in decoder attention mask
      
      * encoder attention mask downsampling
      
      * remove features_pen calculation
      
      * disable the padding tokens thing again
      
      * fixup
      
      * more fixup
      
      * code review fixes
      
      * rename encoder/decoder wrapper classes
      
      * allow checkpoints to be loaded into SpeechT5Model
      
      * put encoder into wrapper for CTC model
      
      * clean up conversion script
      
      * add encoder for TTS model
      
      * add speech decoder prenet
      
      * add speech decoder post-net
      
      * attempt to reconstruct the generation loop
      
      * add speech generation loop
      
      * clean up generate_speech
      
      * small tweaks
      
      * fix forward pass
      
      * enable always dropout on speech decoder prenet
      
      * sort declaration
      
      * rename models
      
      * fixup
      
      * fix copies
      
      * more fixup
      
      * make consistency checker happy
      
      * add Seq2SeqSpectrogramOutput class
      
      * doc comments
      
      * quick note about loss and labels
      
      * add HiFi-GAN implementation (from Speech2Speech PR)
      
      * rename file
      
      * add vocoder to TTS model
      
      * improve vocoder
      
      * working on tokenizer
      
      * more better tokenizer
      
      * add CTC tokenizer
      
      * fix decode and batch_code in CTC tokenizer
      
      * fix processor
      
      * two processors and feature extractors
      
      * use SpeechT5WaveformFeatureExtractor instead of Wav2Vec2
      
      * cleanup
      
      * more cleanup
      
      * even more fixup
      
      * notebooks
      
      * fix log-mel spectrograms
      
      * support reduction factor
      
      * fixup
      
      * shift spectrograms to right to create decoder inputs
      
      * return correct labels
      
      * add labels for stop token prediction
      
      * fix doc comments
      
      * fixup
      
      * remove SpeechT5ForPreTraining
      
      * more fixup
      
      * update copyright headers
      
      * add usage examples
      
      * add SpeechT5ProcessorForCTC
      
      * fixup
      
      * push unofficial checkpoints to hub
      
      * initial version of tokenizer unit tests
      
      * add slow test
      
      * fix failing tests
      
      * tests for CTC tokenizer
      
      * finish CTC tokenizer tests
      
      * processor tests
      
      * initial test for feature extractors
      
      * tests for spectrogram feature extractor
      
      * fixup
      
      * more fixup
      
      * add decorators
      
      * require speech for tests
      
      * modeling tests
      
      * more tests for ASR model
      
      * fix imports
      
      * add fake tests for the other models
      
      * fixup
      
      * remove jupyter notebooks
      
      * add missing SpeechT5Model tests
      
      * add missing tests for SpeechT5ForCTC
      
      * add missing tests for SpeechT5ForTextToSpeech
      
      * sort tests by name
      
      * fix Hi-Fi GAN tests
      
      * fixup
      
      * add speech-to-speech model
      
      * refactor duplicate speech generation code
      
      * add processor for SpeechToSpeech model
      
      * add usage example
      
      * add tests for speech-to-speech model
      
      * fixup
      
      * enable gradient checkpointing for SpeechT5FeatureEncoder
      
      * code review
      
      * push_to_hub now takes repo_id
      
      * improve doc comments for HiFi-GAN config
      
      * add missing test
      
      * add integration tests
      
      * make number of layers in speech decoder prenet configurable
      
      * rename variable
      
      * rename variables
      
      * add auto classes for TTS and S2S
      
      * REMOVE CTC!!!
      
      * S2S processor does not support save/load_pretrained
      
      * fixup
      
      * these models are now in an auto mapping
      
      * fix doc links
      
      * rename HiFiGAN to HifiGan, remove separate config file
      
      * REMOVE auto classes
      
      * there can be only one
      
      * fixup
      
      * replace assert
      
      * reformat
      
      * feature extractor can process input and target at same time
      
      * update checkpoint names
      
      * fix commit hash
      e4bacf66
  33. 24 Jan, 2023 1 commit
  34. 20 Jan, 2023 1 commit
  35. 17 Jan, 2023 1 commit
  36. 15 Dec, 2022 1 commit