Image Classification
Transformers
Safetensors
convnextv2
Generated from Trainer
Eval Results (legacy)
Instructions to use louislu9911/Expert1-leaf-disease-convnextv2-base-1k-224-0_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use louislu9911/Expert1-leaf-disease-convnextv2-base-1k-224-0_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="louislu9911/Expert1-leaf-disease-convnextv2-base-1k-224-0_4") 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("louislu9911/Expert1-leaf-disease-convnextv2-base-1k-224-0_4") model = AutoModelForImageClassification.from_pretrained("louislu9911/Expert1-leaf-disease-convnextv2-base-1k-224-0_4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 34f4ba5ffb2b2acedcb0f021327fb1f3f537d9a1770284aec26b70a4a259421f
- Size of remote file:
- 351 MB
- SHA256:
- 181633d62c9b4e85245edaef3d1d0447dc7e74e634e134c7a5a43785d4076721
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