Instructions to use dzinampini/beans-leaf-disease-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dzinampini/beans-leaf-disease-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="dzinampini/beans-leaf-disease-detection") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("dzinampini/beans-leaf-disease-detection") model = AutoModelForImageClassification.from_pretrained("dzinampini/beans-leaf-disease-detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e6c7cc8ab2b6378f5573fe6d7b640d2cb6285341890bfc6dde18f131d816f13c
- Size of remote file:
- 5.43 kB
- SHA256:
- a860f9c64ec5a0ebd383aa3a344ee05ca7b4ea3f8c2f87b08e77a90e88467d78
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