The faster-whisper-large-v3-turbo model is a conversion of OpenAI's Whisper large-v3-turbo to the CTranslate2 format hosted on Hugging Face. It enables speech-to-text transcription through the faster-whisper library and other CTranslate2-based projects.
The repository provides the converted model weights along with example code for loading and running transcription. A typical usage imports the WhisperModel class from faster_whisper, instantiates the model with the repository identifier, calls the transcribe method on an audio file such as audio.mp3, and iterates over the resulting segments to access start time, end time, and text. The weights are stored in FP16 precision, which can be adjusted at load time through the compute_type option in CTranslate2. The conversion from the original OpenAI model was performed using the ct2-transformers-converter command-line tool.
It is called automatically by the Mobius Labs fork of faster-whisper. The model carries an MIT license and is published by Dropbox Inc. No pricing information is stated because the model is distributed as an open artifact on the Hugging Face platform.
Faster Whisper Large V3 Turbo sits in PulseGate's Other AI category. It focuses on enabling fast and accurate transcription of audio to text using AI models. It is built as an open-source project for developers and researchers needing speech-to-text solutions. Faster Whisper Large V3 Turbo is open source under the Open Source license. The product ships for the web, API, and the command line.
Behind Faster Whisper Large V3 Turbo is Dropbox Inc, and the product first shipped in 2024. It operates in a well-populated space: PulseGate tracks 5 similar tools. Key capabilities include speech-to-text, fast transcription, and open weights.
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