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:
- 5cb81f602519b104787c725089d3ae7dc56138c7fa4704aa22c59ba89639eccb
- Size of remote file:
- 4.98 kB
- SHA256:
- 433d1fb7eaf89de13050137ba569321e0447839fcca2552fc88121b02079f45a
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