pretrained_resnet HTTP Error 403: rate limit exceeded

[ruotianluo]

pretrained_resnest works.

[ruotianluo]

fixed by directly feeding state_dict

[ruotianluo]

I think it is because v0.6.0 is somewhat abandoned.

[n2cholas]

Thanks for reporting this! This is an issue on the PyTorch side, as I get the same error with:

import torch
model = torch.hub.load('pytorch/vision:v0.9.0', 'resnet18', pretrained=True)

I opened an issue with PyTorch (https://github.com/pytorch/pytorch/issues/61755) and will keep this issue open until that's resolved.

[ruotianluo]

I think it works without the version number.

[n2cholas]

I still get the same error on Colab with:

import torch
model = torch.hub.load('pytorch/vision', 'resnet18', pretrained=True)

[ruotianluo]

Interesting, I guess their server is broken. It worked for me yesterday.

[n2cholas]

The issue is being tracked here: https://github.com/pytorch/vision/issues/4156

[n2cholas]

@ruotianluo the issue is temporarily fixed via https://github.com/n2cholas/jax-resnet/commit/43f41194123d63ca5e7d388cab8f85ae5c6d0abf