|
|
%!s(int64=4) %!d(string=hai) anos | |
|---|---|---|
| load_model_ipfs.ipynb | %!s(int64=4) %!d(string=hai) anos | |
| load_model_ipfs.py | %!s(int64=4) %!d(string=hai) anos | |
| readme.md | %!s(int64=4) %!d(string=hai) anos |
See the jupyter notepad for how it works
You need to be running a local IPFS daemon (ipfs daemon) or passing a valid IPFS url to the dataset
model = load_state_dict_from_ipfs('a-models-cid-goes-here', model_dir="./my-models", file_name="some-fancy-model.pth")
print(model)