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Create export_model.py
Browse files- export_model.py +7 -0
export_model.py
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import torch
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# Load the model
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model = VisionEncoderDecoderModel.from_pretrained("nlpconnect/vit-gpt2-image-captioning")
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# Save the model state dictionary
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torch.save(model.state_dict(), "model.pth")
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