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imagenet-swav-resnet50w2
lixiangchun/imagenet-swav-resnet50w2
imagenet-swav-resnet50w2 is a machine learning model from lixiangchun. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for tf-keras.
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Public
Updated Oct 28, 2022
Repo size
115 MB
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0
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Repo makeup
Click a slice to open those files.
.pt46.3 MB · 40%
At a glance
- Library
- tf-keras
- Access
- Public
- Created
- Oct 20, 2022
- Updated
- Oct 28, 2022
- SHA
- 755671ea
Model card
From the Hugging Face model README
import trace_layer2 as models
import torch
x=torch.randn(1, 3, 224, 224)
state_dict = torch.load('swav_imagenet_layer2.pt', map_location='cpu')
model = models.resnet50w2()
model.load_state_dict(state_dict)
model.eval()
feature = model(x)
traced_model = torch.jit.load('traced_swav_imagenet_layer2.pt', map_location='cpu')
traced_model.eval()
feature = traced_model(x)
- Library
- tf-keras
- Created
- Oct 20, 2022
- Updated
- Oct 28, 2022