Image Classification
Transformers
Safetensors
convnextv2
Generated from Trainer
Eval Results (legacy)
Instructions to use louislu9911/switch_gate-leaf-disease-convnextv2-base-22k-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use louislu9911/switch_gate-leaf-disease-convnextv2-base-22k-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="louislu9911/switch_gate-leaf-disease-convnextv2-base-22k-224") 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/switch_gate-leaf-disease-convnextv2-base-22k-224") model = AutoModelForImageClassification.from_pretrained("louislu9911/switch_gate-leaf-disease-convnextv2-base-22k-224", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 943b1055a31e4ec129519093c87d398e3b243dfc88e5d671c0769c9397c80cad
- Size of remote file:
- 4.98 kB
- SHA256:
- 4227d07f230dac31267adc11700eac9a05c9b8b1829a38de756dae1ecb7d77b4
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