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ihoflaz
/

dibas-resnet50

Image Classification

medical-imaging

Model card Files Files and versions

Instructions to use ihoflaz/dibas-resnet50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ihoflaz/dibas-resnet50 with timm:

import timm

model = timm.create_model("hf_hub:ihoflaz/dibas-resnet50", pretrained=True)

Notebooks
Google Colab
Kaggle

94.6 MB

Ctrl+K

Ctrl+K

1 contributor

History: 5 commits

ihoflaz's picture

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.gitattributes

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initial commit 6 months ago
README.md

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config.json

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preprocessor_config.json

305 Bytes
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pytorch_model.bin
Detected Pickle imports (4)
- "torch._utils._rebuild_tensor_v2",
- "torch.FloatStorage",
- "torch.LongStorage",
- "collections.OrderedDict"
What is a pickle import?
94.6 MB
xet

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