Transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Plugins Filament, packages Laravel et starter kits open source activement maintenus. Tous en MIT, avec des releases pour v3, v4 et v5 selon les cas.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Port of OpenAI's Whisper model in C/C++
Faster Whisper transcription with CTranslate2
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
Controllable Transcription. Verbatim ( every, filler, pause, stutter, vocal sound) , or intended ( what the speaker meant to say, optimized for readability) with word-level timestamps.
🗣 An overlay that gets your user’s voice permission and input as text in a customizable UI
Tous les packages ont une CI, des tests Pest et des issues ouvertes taguées good first issue.
Nouvelle version disponible.