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A huggingface model can be distributed in different formats/architectures. (Pytorch, Tensorflow, rust, ..etc) . For example see https://huggingface.co/microsoft/deberta-v3-base/tree/main
Currently there seems to no way to differentiate these in the purl type for huggingface https://github.com/package-url/purl-spec/blob/master/PURL-TYPES.rst#huggingface
I suggest to add an extra qualifier (with a string enumeration for known formats) to support this. For example distro=pytorch .
distro=pytorch
The text was updated successfully, but these errors were encountered:
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A huggingface model can be distributed in different formats/architectures. (Pytorch, Tensorflow, rust, ..etc) . For example see https://huggingface.co/microsoft/deberta-v3-base/tree/main
Currently there seems to no way to differentiate these in the purl type for huggingface
https://github.com/package-url/purl-spec/blob/master/PURL-TYPES.rst#huggingface
I suggest to add an extra qualifier (with a string enumeration for known formats) to support this. For example
distro=pytorch.The text was updated successfully, but these errors were encountered: