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timbot93/faster-whisper-bccd-medium_cpu.en
faster-whisper-bccd-medium_cpu.en is a automatic speech recognition model from timbot93. Use it when you need speech turned into text. It is set up for ctranslate2. The card lists the license as mit.
This repository contains a conversion of openai/whisper-medium.en to the CTranslate2 model format.
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From the Hugging Face model README
This repository contains a conversion of openai/whisper-medium.en to the CTranslate2 model format.
This model can be used in CTranslate2 or projects based on CTranslate2 such as faster-whisper.
from faster_whisper import WhisperModel
model = WhisperModel("timbot93/faster-whisper-bccd-medium_cpu.en")
segments, info = model.transcribe("audio.mp3")
for segment in segments:
print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))