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.1745549073.508884934ae3.2190.0
- Xet hash:
- e5ec23aa091f71b79fdbc7d00cd949ed476a09f93dad8d04b87578591822194f
- Size of remote file:
- 38.1 kB
- SHA256:
- fae504e5ca41ff11505151a3d871722405ab59932dffe0e481be9248a9a0b00a
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