init

test004.py

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+from faster_whisper import WhisperModel
+
+model_size = "turbo"
+
+# Run on GPU with FP16
+model = WhisperModel(model_size, device="cuda", compute_type="float16")
+
+# or run on GPU with INT8
+# model = WhisperModel(model_size, device="cuda", compute_type="int8_float16")
+# or run on CPU with INT8
+# model = WhisperModel(model_size, device="cpu", compute_type="int8")
+
+segments, info = model.transcribe("audio.mp3", beam_size=5, language="zh", initial_prompt="这是一段小说。")
+
+print(info)
+
+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))