Instructions to use SodaXII/vit-base-patch16-224_rice-leaf-disease-augmented-v4_v5_pft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SodaXII/vit-base-patch16-224_rice-leaf-disease-augmented-v4_v5_pft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="SodaXII/vit-base-patch16-224_rice-leaf-disease-augmented-v4_v5_pft") 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("SodaXII/vit-base-patch16-224_rice-leaf-disease-augmented-v4_v5_pft") model = AutoModelForImageClassification.from_pretrained("SodaXII/vit-base-patch16-224_rice-leaf-disease-augmented-v4_v5_pft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b7b3cc7aa6985746fde7e330a1cc5362746403d8aed35b12212f9e35d393751
- Size of remote file:
- 5.5 kB
- SHA256:
- 7fc41dfc48b8e237f71e3033ff4a1895330ee207d8421f9ef86f9ce08fa9d05f
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