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Add a weight extraction script.
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candle-examples/examples/whisper/extract_weights.py
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candle-examples/examples/whisper/extract_weights.py
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# Get the checkpoint from
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# https://openaipublic.azureedge.net/main/whisper/models/d3dd57d32accea0b295c96e26691aa14d8822fac7d9d27d5dc00b4ca2826dd03/tiny.en.pt
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import torch
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from safetensors.torch import save_file
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data = torch.load("tiny.en.pt")
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weights = {}
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for k, v in data["model_state_dict"].items():
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weights[k] = v.contiguous()
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print(k, v.shape)
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save_file(weights, "tiny.en.safetensors")
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print(data["dims"])
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