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en (usable with faster-whisper).1from faster_whisper import WhisperModel
2model = WhisperModel("en__openai__whisper-small__int8", device="cpu", compute_type="int8") # or cuda / int8_float16
3segments, info = model.transcribe("sample.wav", language="en")
4for s in segments:
5 print(f"[{s.start:.2f} -> {s.end:.2f}] {s.text}")Tip: If you get a language mismatch, passlanguage="<code>"explicitly.