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HTTPError Traceback (most recent call last) in () ----> 1 model = torch.hub.load('pytorch/vision:v0.6.0', 'resnet18', pretrained=True).eval() 2 3 response = requests.get("https://git.io/JJkYN") 4 labels = response.text.split("\n")
8 frames /usr/lib/python3.7/urllib/request.py in http_error_default(self, req, fp, code, msg, hdrs) 647 class HTTPDefaultErrorHandler(BaseHandler): 648 def http_error_default(self, req, fp, code, msg, hdrs): --> 649 raise HTTPError(req.full_url, code, msg, hdrs, fp) 650 651 class HTTPRedirectHandler(BaseHandler):
HTTPError: HTTP Error 403: rate limit exceeded
The text was updated successfully, but these errors were encountered:
Seems like an issue with PyTorch Hub right now. Presumably will resolve itself soon, if not, we'll load the model from another repository.
Sorry, something went wrong.
@gchetty I was having a similar issue, using torch==1.8.0 resolved it, can you try that
@gchetty also see pytorch/vision#4156 (comment)
Closing because this is not a gradio issue. Thanks everyone for helping!
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HTTPError Traceback (most recent call last)
in ()
----> 1 model = torch.hub.load('pytorch/vision:v0.6.0', 'resnet18', pretrained=True).eval()
2
3 response = requests.get("https://git.io/JJkYN")
4 labels = response.text.split("\n")
8 frames
/usr/lib/python3.7/urllib/request.py in http_error_default(self, req, fp, code, msg, hdrs)
647 class HTTPDefaultErrorHandler(BaseHandler):
648 def http_error_default(self, req, fp, code, msg, hdrs):
--> 649 raise HTTPError(req.full_url, code, msg, hdrs, fp)
650
651 class HTTPRedirectHandler(BaseHandler):
HTTPError: HTTP Error 403: rate limit exceeded
The text was updated successfully, but these errors were encountered: