Instructions to use Luna-Skywalker/corn_dtect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use Luna-Skywalker/corn_dtect with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("Luna-Skywalker/corn_dtect") - timm
How to use Luna-Skywalker/corn_dtect with timm:
import timm model = timm.create_model("hf_hub:Luna-Skywalker/corn_dtect", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c92488a4f88245c18f91a1dbd56fe3d43418eb8a2f98449307ad56fd4f475999
- Size of remote file:
- 115 MB
- SHA256:
- 0e69308768ccf668f6bb31dcf434d7d10d56f396ffacf10fc00b22636b4141d4
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