README.md

metadata

license: mit
datasets:
  - mozilla-foundation/common_voice_11_0
language:
  - ja
pipeline_tag: automatic-speech-recognition
tags:
  - pytorch
  - faster-whisper
  - whisper
  - CTranslate2
metrics:
  - wer

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))