d479953a62
* Add example `wav2vec2` models * Add support for `CTCDecoder` and `Wav2Vec2CTCTokenizer` * Generate tokenizer.json files for wav2vec2 models * Fix wav2vec2 custom tokenizer generation * Implement wav2vec2 audio-speech-recognition * Add `Wav2Vec2` as a supported architecture * Update README.md * Update generate_tests.py * Ignore invalid tests * Update supported wav2vec2 models * Update supported_models.py * Simplify pipeline construction * Implement basic audio classification pipeline * Update default topk value for audio classification pipeline * Add example usage for the audio classification pipeline * Move `loadAudio` to utils file * Add audio classification unit test * Add wav2vec2 ASR unit test * Improve generated wav2vec2 tokenizer json * Update supported_models.py * Allow `added_tokens_regex` to be null * Support exporting mms vocabs * Supported nested vocabularies * Update supported tasks and models * Add warnings to ignore language and task for wav2vec2 models Will add in future * Mark internal methods as private * Add typing to audio variable * Update node-audio-processing.mdx * Move node-audio-processing to guides * Update table of contents * Add example code for performing feature extraction w/ `Wav2Vec2Model` NOTE: feature extraction of MMS models is currently broken in the python library, but it works correctly here. See https://github.com/huggingface/transformers/issues/25485 for more info * Refactor `Pipeline` class params * Fix `pipeline` function * Fix typo in `pipeline` JSDoc * Fix second typo |
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| index.js | ||
| package.json | ||