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
vit-base-patch16-224_rice-leaf-disease-augmented-v4_v5_pft / logs /events.out.tfevents.1745504453.cbbb907fda2c.608.0
- Xet hash:
- d07e80894a9162e6054c5bffeff9e79129a84cb2244e221b76e09156094539d3
- Size of remote file:
- 38.1 kB
- SHA256:
- 42d696be776157e4df4479dd9f83ff96e67eb37ba5d0a55ca002104e02da429c
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