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Added support of large-v1 model into CoreML #926

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merged 1 commit into from May 15, 2023
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Added support of large-v1 model into CoreML #926

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4 changes: 2 additions & 2 deletions models/convert-whisper-to-coreml.py
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Expand Up @@ -296,13 +296,13 @@ def convert_decoder(hparams, model, quantize=False):

if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--model", type=str, help="model to convert (e.g. tiny, tiny.en, base, base.en, small, small.en, medium, medium.en, large)", required=True)
parser.add_argument("--model", type=str, help="model to convert (e.g. tiny, tiny.en, base, base.en, small, small.en, medium, medium.en, large, large-v1)", required=True)
parser.add_argument("--encoder-only", type=bool, help="only convert encoder", default=False)
parser.add_argument("--quantize", type=bool, help="quantize weights to F16", default=False)
parser.add_argument("--optimize-ane", type=bool, help="optimize for ANE execution (currently broken)", default=False)
args = parser.parse_args()

if args.model not in ["tiny", "tiny.en", "base", "base.en", "small", "small.en", "medium", "medium.en", "large"]:
if args.model not in ["tiny", "tiny.en", "base", "base.en", "small", "small.en", "medium", "medium.en", "large", "large-v1"]:
raise ValueError("Invalid model name")

whisper = load_model(args.model).cpu()
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