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Fix TypeError in whisper benchmark script (#306)
* Add missing keyword to the decoding options * Reverting last commit * Fixing transcribe keyword in benckmark.py * Add argument name to load_model This is intended to avoid confusion
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@ -66,7 +66,7 @@ def decode(model, mels):
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def everything(model_path):
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return transcribe(audio_file, model_path=model_path)
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return transcribe(audio_file, path_or_hf_repo=model_path)
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if __name__ == "__main__":
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@ -128,7 +128,7 @@ if __name__ == "__main__":
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],
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mx.int32,
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)[None]
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model = load_models.load_model(model_path, dtype=mx.float16)
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model = load_models.load_model(path_or_hf_repo=model_path, dtype=mx.float16)
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mels = feats(model.dims.n_mels)[None].astype(mx.float16)
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model_forward_time = timer(model_forward, model, mels, tokens)
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print(f"Model forward time {model_forward_time:.3f}")
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