Instructions to use nateraw/resnet101 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nateraw/resnet101 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nateraw/resnet101", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nateraw/resnet101: direct link, hf CLI and curl.
- Browser
- Download file 179 MB
-
https://huggingface.co/nateraw/resnet101/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nateraw/resnet101/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nateraw/resnet101/resolve/main/pytorch_model.bin
179 MB
- Xet hash:
- 1a72e9e646a172f7e8807275704e4a7f31a5e13f033b93d13dcbde3e30a4546d
- Size of remote file:
- 179 MB
- SHA256:
- 856507a676b25d119bd2bc8669fad34879980a464288ad3aca419e6b977ffbd6
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