--- library_name: ctranslate2 pipeline_tag: automatic-speech-recognition tags: - faster-whisper - whisper-small - ja license: apache-2.0 --- # ja__Ivydata__whisper-small-japanese__int8 CTranslate2 export of Whisper Small for `ja` (usable with [faster-whisper](https://github.com/SYSTRAN/faster-whisper)). ## Usage ```python from faster_whisper import WhisperModel model = WhisperModel("ja__Ivydata__whisper-small-japanese__int8", device="cpu", compute_type="int8") # or cuda / int8_float16 segments, info = model.transcribe("sample.wav", language="ja") for s in segments: print(f"[{s.start:.2f} -> {s.end:.2f}] {s.text}") ``` > Tip: If you get a language mismatch, pass `language=""` explicitly.