Image Classification
Transformers
Safetensors
resnet
image-feature-extraction
vision
Generated from Trainer
Instructions to use wellCh4n/tomato-leaf-disease-classification-resnet50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wellCh4n/tomato-leaf-disease-classification-resnet50 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="wellCh4n/tomato-leaf-disease-classification-resnet50") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("wellCh4n/tomato-leaf-disease-classification-resnet50") model = AutoModel.from_pretrained("wellCh4n/tomato-leaf-disease-classification-resnet50", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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