Instructions to use igmarco/grapes-semanticsegmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use igmarco/grapes-semanticsegmentation with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("igmarco/grapes-semanticsegmentation") - Notebooks
- Google Colab
- Kaggle
Download model.pkl from igmarco/grapes-semanticsegmentation: direct link, hf CLI and curl.
- Browser
- Download file 154 MB
-
https://huggingface.co/igmarco/grapes-semanticsegmentation/resolve/main/model.pkl
- Command line
-
hf download hf://igmarco/grapes-semanticsegmentation/model.pkl
-
curl -L -o model.pkl https://huggingface.co/igmarco/grapes-semanticsegmentation/resolve/main/model.pkl
154 MB
- Xet hash:
- 22f318fe2247726d2775b1daf42e9fcc946faab058f9d4e8c9587b502a10dcf5
- Size of remote file:
- 154 MB
- SHA256:
- e388dcea435df8372f5b60cc23f1e5f7cd3f7ffa3cd817866d14a1a51187bcd6
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