* Add tutorial doc for TF + TPU
* Fix all those extra asterisks in the markdown
* Use the actual Tip formatting
* Remove unnecessary spaces
* Reformat checklist
* Fix checklist and reformat tips slightly
* Update docs/source/en/perf_train_tpu_tf.mdx
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update docs/source/en/perf_train_tpu_tf.mdx
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update docs/source/en/perf_train_tpu_tf.mdx
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* Update docs/source/en/perf_train_tpu_tf.mdx
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* Add link to TPU notebook in the notebooks list
* Add links to the TPU notebook in the tutorial doc
* Make the markdown table a bit less wild
* Fix notebook link
* More notebook links
* More fixes to wild tables
---------
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* 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
* updated resources for LayoutLM
* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* fixed formatting, removed extra section
---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Added resource section to GPT-J docs
* Added most of the links found
* Addressing review comments
* Fixing formatting
* Update docs/source/en/model_doc/gptj.mdx
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Fixing one of the labels
---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* 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
* 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
* wip: adding tf example for semantic segmentation guide
* completed the working example in tf
* make style
* Update docs/source/en/tasks/semantic_segmentation.mdx
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/tasks/semantic_segmentation.mdx
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* fixed a callback doc links
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* [FT] First commit for graphormer architecture.
The model has no tokenizer, as it uses a collator and preprocessing function for its input management.
Architecture to be tested against original one.
The arch might need to be changed to fit the checkpoint, but a revert to the original arch will make the code less nice to read.
TODO: doc
* [FIX] removed test model
* [FIX] import error
* [FIX] black and flake
* [DOC] added paper refs
* [FIX] [DOC]
* [FIX] black
* [DOC] Updated READMEs
* [FIX] Order of imports + rm Tokenizer calls
* [FIX] Moved assert in class to prevent doc build failure
* [FIX] make fix-copies
* [Doc] update from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* [FIX] Removed Graphormer from Sequence classification model list
* [DOC] Added HF copyright to Cython file
* [DOC] Fixed comments
* [FIX] typos in class doc + removed config classes.
Todo: update doc from paper definitions
* [FIX] Removed dependency to fairseq, and replaced all asserts with Exception management
* [FIX] Homogeneized initialization of weights to pretrained constructor
* [FIX] [CP] Updated multi_hop parameter to get same results as in original implementation
* [DOC] Relevant parameter description in the configuration file
* [DOC] Updated doc and comments in main graphormer file
* [FIX] make style and quality checks
* [DOC] Fix doc format
* [FIX] [WIP] Updated part of the tests, though still a wip
* [FIX] [WIP]
* [FIX] repo consistency
* [FIX] Changed input names for more understandability
* [FIX] [BUG] updated num_classes params for propagation in the model
* simplified collator
* [FIX] Updated tests to follow new naming pattern
* [TESTS] Updated test suite along with model
* |FIX] rm tokenizer import
* [DOC] add link to graphormerdoc
* Changed section in doc from text model to graph model
* Apply suggestions from code review
Spacing, inits
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* [DOC] Explain algos_graphormer functions
* Cython soft import protection
* Rm call to Callable in configuration graphormer
* [FIX] replaced asserts with Exceptions
* Add org to graphormer checkpoints
* Prefixed classes with Graphormer
* Management of init functions
* format
* fixes
* fix length file
* update indent
* relaunching ci
* Errors for missing cython imports
* fix style
* fix style doc
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Extended the CV preprocessing section with more details and refactored the example
* added padding to the CV section, though it is a special case
* Added a tip about post processing methods
* make style
* link update
* Apply suggestions from review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* review feedback
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* `blip` support for training
* remove labels creation
* remove unneeded `decoder_input_ids` creation
* final changes
- add colab link to documentation
- reduction = mean for loss
* fix nits
* update link
* clearer error message
* initial commit, refactoring the text generation api reference
* removed repetitive code examples
* Refactoring the text generation docs to reduce repetition
* make style
* Part of the "text generation" rework: adding a high-level overview of the text generation strategies
* code samples update via make style
* fixed a few formatting issues
* Apply suggestions from review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* fixed spaces, and switched two links to markdown
* Apply Steven's suggestions from review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* new lines after headers to fix link rendering
* review feedback addressed. added links to image captioning and audio transcription examples
* minor capitalization fix
* addressed the review feedback
* Apply suggestions from review
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Applied review suggestions
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Added TF example for image classification
* Code style polishing
* code style polishing
* minor polishing
* fixed a link in a tip, and a typo in the inference TF content
* Apply Amy's suggestions from review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update docs/source/en/tasks/image_classification.mdx
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* review feedback addressed
* make style
* added PushToHubCallback with save_strategy="no"
* minor polishing
* added PushToHubCallback with save_strategy=no
* minor polishing
* Update docs/source/en/tasks/image_classification.mdx
* added data augmentation
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* make style
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
