* docs: ko: tflite.mdx
* feat: nmt and manual edit `tflite.mdx`
* revised: resolve suggestions tflite.mdx
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>
* revised: resolve suggestions and new line tflite.mdx
Co-Authored-By: Wonhyeong Seo <wonhseo@kakao.com>
Co-Authored-By: Kihoon Son <75935546+KIHOON71@users.noreply.github.com>
Co-Authored-By: Sohyun Sim <96299403+sim-so@users.noreply.github.com>
Co-Authored-By: Gabriel Yang <gabrielwithhappy@gmail.com>
Co-Authored-By: Nayeon Han <nayeon2.han@gmail.com>
Co-Authored-By: Jungnerd <46880056+jungnerd@users.noreply.github.com>
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Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>
Co-authored-by: Kihoon Son <75935546+KIHOON71@users.noreply.github.com>
Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>
Co-authored-by: Gabriel Yang <gabrielwithhappy@gmail.com>
Co-authored-by: Nayeon Han <nayeon2.han@gmail.com>
Co-authored-by: Jungnerd <46880056+jungnerd@users.noreply.github.com>
* Fix TypeError: Object of type int64 is not JSON serializable
* Convert numpy.float64 and numpy.int64 to float and int for json serialization
* Black reformatted examples/pytorch/token-classification/run_ner_no_trainer.py
* * make style
* Squash 88 commits
* Use markdown
* Remove mdx files due to bad rebase
* Fix modeling files due to bad rebase
* Fix style
* Update comment
* fix
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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
* An end to accursed version-specific imports
* No more K.is_keras_tensor() either
* Update dependency tables
* Use a cleaner call context function getter
* Add a cap to <2.14
* Add cap to examples requirements too
* Allow dict input for audio classification pipeline
* make style
* Empty commit to trigger CI
* Empty commit to trigger CI
* check for torchaudio
* add pip instructions
Co-authored-by: Sylvain <sylvain.gugger@gmail.com>
* Update src/transformers/pipelines/audio_classification.py
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
* asr -> audio class
* asr -> audio class
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Co-authored-by: Sylvain <sylvain.gugger@gmail.com>
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
* Replace python random with torch.rand to enable dynamo.export
* revert changes to flax model code
* Remove unused random import
* Fix torch template
* Move torch.manual_seed(0) to right location
* Refactor hyperparameter search backends
* Simpler refactoring without abstract base class
* black
* review comments:
specify name in class
use methods instead of callable class attributes
name constant better
* review comments: safer bool checking, log multiple available backends
* test ALL_HYPERPARAMETER_SEARCH_BACKENDS vs HPSearchBackend in unit test, not module. format with black.
* copyright
Update outdated hyperlink hpo_train.md
Link to RayTune search space API docs was outdated - have provided correct new link for docs.
Co-authored-by: Joshua Samuel <66880119+Joshsamuel101@users.noreply.github.com>
* Slight comment cleanup
* Reduce peak mem usage when loading TF-format safetensor weights
* Tweak the PyTorch loading code to support lazy loading from safetensors
* Pass safe_open objects to the PyTorch loading function
* Do GPU transposes for speed
* One more tweak to reduce peak usage further
* One-line hasattr
* Fix bug when there's a shape mismatch
* Rename state_dict in the loading code to be clearer
* Use TF format everywhere for consistency
* let's go!
* initial implementation of token-level timestamps
* only return a single timestamp per token
* remove token probabilities
* fix return type
* fix doc comment
* strip special tokens
* rename
* revert to not stripping special tokens
* only support models that have alignment_heads
* add integration test
* consistently name it token-level timestamps
* small DTW tweak
* initial support for ASR pipeline
* fix pipeline doc comments
* resolve token timestamps in pipeline with chunking
* change warning when no final timestamp is found
* return word-level timestamps
* fixup
* fix bug that skipped final word in each chunk
* fix failing unit tests
* merge punctuations into the words
* also return word tokens
* also return token indices
* add (failing) unit test for combine_tokens_into_words
* make combine_tokens_into_words private
* restore OpenAI's punctuation rules
* add pipeline tests
* make requested changes
* PR review changes
* fix failing pipeline test
* small stuff from PR
* only return words and their timestamps, not segments
* move alignment_heads into generation config
* forgot to set alignment_heads in pipeline tests
* tiny comment fix
* grr
