Instructions to use maurice-fp/ModelReuse-train.resnet18.Flower102-prune.0_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use maurice-fp/ModelReuse-train.resnet18.Flower102-prune.0_8 with timm:
import timm model = timm.create_model("hf_hub:maurice-fp/ModelReuse-train.resnet18.Flower102-prune.0_8", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from maurice-fp/ModelReuse-train.resnet18.Flower102-prune.0_8: direct link, hf CLI and curl.
- Browser
- Download file 45 MB
-
https://huggingface.co/maurice-fp/ModelReuse-train.resnet18.Flower102-prune.0_8/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://maurice-fp/ModelReuse-train.resnet18.Flower102-prune.0_8/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/maurice-fp/ModelReuse-train.resnet18.Flower102-prune.0_8/resolve/main/pytorch_model.bin
45 MB
- Xet hash:
- 852325ea35c3b6f7f00437e61dbead890f38f48f1af44fca7f5b9ac919c0ffe7
- Size of remote file:
- 45 MB
- SHA256:
- 6383ec2b3abfa8a7fb011cc8bcf7a1d77b4a510dd7eb93461c26cc44c72b3d7c
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