Instructions to use haiderAI/vision-model-Vit-rice-leaf-disease-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use haiderAI/vision-model-Vit-rice-leaf-disease-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="haiderAI/vision-model-Vit-rice-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("haiderAI/vision-model-Vit-rice-leaf-disease-detection") model = AutoModelForImageClassification.from_pretrained("haiderAI/vision-model-Vit-rice-leaf-disease-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b05f1c2661f54306fbf0055abbe06ce2ce36c1525f66e9365a6f4e6235c1c691
- Size of remote file:
- 3.96 kB
- SHA256:
- e4a95f035ff38a37c37f701d5ccf43153ece13ad66cbf3b2da88ed3dff8058c7
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