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:
- b11ff6c963326667f73b27d3d27fd3a66622f33189de8201aa4d61e0fa6d1fa7
- Size of remote file:
- 351 MB
- SHA256:
- e9a44d8a829cc754eb06ebbd2be6e1732a1e2a60bfc233d478c97f15e5663944
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