Instructions to use nateraw/wide_resnet50_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nateraw/wide_resnet50_2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nateraw/wide_resnet50_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nateraw/wide_resnet50_2: direct link, hf CLI and curl.
- Browser
- Download file 276 MB
-
https://huggingface.co/nateraw/wide_resnet50_2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nateraw/wide_resnet50_2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nateraw/wide_resnet50_2/resolve/main/pytorch_model.bin
276 MB
- Xet hash:
- d1dd68f7195235509925dbb549f5dab55ee4bd23a8eeb41fa1429350e145d956
- Size of remote file:
- 276 MB
- SHA256:
- 86d9195648fb84bb5ef7b0c20fc7cbe15c003bd821ae285c9497a16339b59252
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