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jootanehorror/faster-whisper-large-v3-turbo-ct2
faster-whisper-large-v3-turbo-ct2 is a automatic speech recognition model from jootanehorror. 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 the conversion of whisper-turbo to the CTranslate2 model format.
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From the Hugging Face model README
This repository contains the conversion of whisper-turbo to the CTranslate2 model format.
from huggingface_hub import snapshot_download
from faster_whisper import WhisperModel
repo_id = "jootanehorror/faster-whisper-large-v3-turbo-ct2"
local_dir = "faster-whisper-large-v3-turbo-ct2"
snapshot_download(repo_id=repo_id, local_dir=local_dir, repo_type="model")
model = WhisperModel(local_dir, device='cpu', compute_type='int8')
segments, info = model.transcribe("sample.mp3")
for segment in segments:
print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))
For more information about the model, see its official github page.