Comments (7)
I would be glad to get them too!
Or any info about whether are you planning to release them.
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Same here!
I've been looking for the pretrained models and ended up this thread!
It seems like only the pretrained+finetuned models are public now.
Could you please share them? Or let us know if you are going to release them or not?
Thanks
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Also interested in this @dkm2110
from wsl-images.
Interested as well.
(I am quite skeptical it is available outside Facebook research though...)
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@subin2 @flauted @saareliad have a look at this
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@subin2 @flauted @saareliad have a look at this
Thanks @subin2
Unfortunately I was looking for the large models (829M parameters 32x48d) and it's not there
from wsl-images.
@subin2 after reading with more attention seems like the models in
https://pytorch.org/hub/facebookresearch_semi-supervised-ImageNet1K-models_resnext/
are trained on both 940M and imagenet:
“Semi-weakly” supervised (SWSL) ImageNet models are pre-trained on 940 million public images with 1.5K hashtags matching with 1000 ImageNet1K synsets, followed by fine-tuning on ImageNet1K dataset. "
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Related Issues (20)
- Passing 'pretrained' parameter to torch.hub.load raises error
- About training set
- Is there anyone who implemented the ResNeXt WSL reproduction results in tensorflow2.x or tensorflow1.x,Thx!
- Pretrained hashtag prediction model HOT 4
- how can I do the final hashtag prediction using the pretrained model?
- How to find the precision of the various layers when laoding the models resnext101 models
- Significant numerical differences with torch.amp.autocast() compared with stock pretrained resnext101
- default branch name breaking torch.hub HOT 1
- Will ResNeXt-101 32x4d be available? HOT 1
- 404 error when pulling model from hub HOT 7
- Error
- cuda out of memory
- Model performance
- Get "TypeError: __init__() got an unexpected keyword argument 'groups'" during ResNet init HOT 1
- About performance in Cub-200 finetune. HOT 2
- x101-32*8d doesn't work well when I put it in cascade rcnn in mmdetection HOT 5
- can not load model from hub
- OSError: [Errno 22] Invalid argument HOT 4
- How to solve ZeroDivisionError: float division by zero? HOT 1
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