Instructions to use Aftabhussain/Tomato_Leaf_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aftabhussain/Tomato_Leaf_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Aftabhussain/Tomato_Leaf_Classifier") 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("Aftabhussain/Tomato_Leaf_Classifier") model = AutoModelForImageClassification.from_pretrained("Aftabhussain/Tomato_Leaf_Classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef1968650a6fa4bee93aef3e9368ddf2d979084bf9c7c04d68473af8b51f91f5
- Size of remote file:
- 343 MB
- SHA256:
- 3a038b761b50b240da7d06c4764b9b250316a8004dd3b7fff1c645a46d208848
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