Instructions to use Alamgirapi/dog-breed-convnext-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use Alamgirapi/dog-breed-convnext-classifier with timm:
import timm model = timm.create_model("hf-hub:Alamgirapi/dog-breed-convnext-classifier", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download model.pth from Alamgirapi/dog-breed-convnext-classifier: direct link, hf CLI and curl.
- Browser
- Download file 350 MB
-
https://huggingface.co/Alamgirapi/dog-breed-convnext-classifier/resolve/main/model.pth
- Command line
-
hf download hf://Alamgirapi/dog-breed-convnext-classifier/model.pth
-
curl -L -o model.pth https://huggingface.co/Alamgirapi/dog-breed-convnext-classifier/resolve/main/model.pth
350 MB
- Xet hash:
- 85ad300fe4d7089d85ca2d850a42a55d7a4546f0310b78a11bbbed1b9c2e89c7
- Size of remote file:
- 350 MB
- SHA256:
- 4f6d82fd7fd9ebd6bf8ac40327ce87fae779b292cb3564c760b715a7ab00d71f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.