Image Classification
Transformers
Safetensors
convnextv2
Generated from Trainer
Eval Results (legacy)
Instructions to use louislu9911/convnextv2-base-22k-224-finetuned-cassava-leaf-disease with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use louislu9911/convnextv2-base-22k-224-finetuned-cassava-leaf-disease with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="louislu9911/convnextv2-base-22k-224-finetuned-cassava-leaf-disease") 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/convnextv2-base-22k-224-finetuned-cassava-leaf-disease") model = AutoModelForImageClassification.from_pretrained("louislu9911/convnextv2-base-22k-224-finetuned-cassava-leaf-disease") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 489787194989edb0cafdb3d6f85a43b1a96d3a8357079d057640585a6c76b22c
- Size of remote file:
- 351 MB
- SHA256:
- cb3218c491ec6b07c11724cd9bf8cb9f26f0ef9cea8f76ecc10ac405075ad04b
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