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---
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](https://huggingface.co/clu-ling/whisper-large-v2-japanese-5k-steps) using [CTranslate2](https://github.com/OpenNMT/CTranslate2).
Usage:
1. Install `pip install faster-whisper` (Check [faster-whisper](https://github.com/guillaumekln/faster-whisper) for detailed instructions.)
2. ```python
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))
``` |