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Loading a Pytorch model?

Is it possible to upload a saved model to the algorithm lab?  I can't seem to find any tutorials on how to load a external model.  The only examples I found invole downloading a file from dropbox with a url.

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dropbox_url= "https://www.dropbox.com/data_path?&dl=1"

req = requests.get(dropbox_url)
path = pickle.loads(req.content)


agent.load_state_dict(torch.as_tensor(path))

I keep getting a runtime error when I try to load the path

RuntimeError : Overflow when unpacking long

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Update: I found a solution using BytesIO with torch.load()

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The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.


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