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:
- afab51371c6c59fae5efd51300a0ef109b23c6b774a51f52c8029060466448e3
- Size of remote file:
- 343 MB
- SHA256:
- c95b425a639d856968b9ed9be9138cdeceb3697d4e52338acb26490ceabba590
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