from faster_whisper import WhisperModel

# 指定模型
model_size = "large-v3"

# or run on CPU with INT8
model = WhisperModel(model_size, device="cpu", compute_type="int8")

# 加载音频，执行语音识别
segments, info = model.transcribe("Haul.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))