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.
Aktiv gepflegte Filament-Plugins, Laravel-Pakete und Open-Source-Starter-Kits. Alle MIT, mit Releases für v3, v4 und v5, sofern zutreffend.
🤗 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
Alle Pakete haben CI, Pest-Tests und offene Issues mit dem Tag good first issue.
Neue Version verfügbar.