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.
Filament plugins, Laravel packages and open source starter kits actively maintained. All MIT, with releases for v3, v4 and v5 where applicable.
🤗 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
All packages have CI, Pest tests and open issues tagged good first issue.
New version available.