Edit model card

Converted from clu-ling/whisper-large-v2-japanese-5k-steps using CTranslate2.

Usage:

  1. Install pip install faster-whisper (Check faster-whisper for detailed instructions.)

  2. from faster_whisper import WhisperModel
    
    model = WhisperModel('zh-plus/faster-whisper-large-v2-japanese-5k-steps', device="cuda", compute_type="float16")
    segments, info = model.transcribe("audio.mp3", beam_size=5)
    
    print("Detected language '%s' with probability %f" % (info.language, info.language_probability))
    
    for segment in segments:
        print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))
    
Downloads last month
381
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train zh-plus/faster-whisper-large-v2-japanese-5k-steps

Spaces using zh-plus/faster-whisper-large-v2-japanese-5k-steps 3