Image Classification
Transformers
PyTorch
TensorBoard
resnet
Generated from Trainer
Eval Results (legacy)
Instructions to use SanketJadhav/PlantDiseaseClassifier-Resnet50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SanketJadhav/PlantDiseaseClassifier-Resnet50 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="SanketJadhav/PlantDiseaseClassifier-Resnet50") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("SanketJadhav/PlantDiseaseClassifier-Resnet50") model = AutoModelForImageClassification.from_pretrained("SanketJadhav/PlantDiseaseClassifier-Resnet50", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from SanketJadhav/PlantDiseaseClassifier-Resnet50: direct link, hf CLI and curl.
- Browser
- Download file 3.64 kB
-
https://huggingface.co/SanketJadhav/PlantDiseaseClassifier-Resnet50/resolve/6b20fa54fcdcc0946852b701b2d06ecd35601601/training_args.bin
- Command line
-
hf download hf://SanketJadhav/PlantDiseaseClassifier-Resnet50@6b20fa54fcdcc0946852b701b2d06ecd35601601/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SanketJadhav/PlantDiseaseClassifier-Resnet50/resolve/6b20fa54fcdcc0946852b701b2d06ecd35601601/training_args.bin
3.64 kB
- Xet hash:
- f26817ae1aabe1e12c6774f614bb3c6f6f89a379a00656401399f899ddef9a29
- Size of remote file:
- 3.64 kB
- SHA256:
- b3b3300a82dce00a40cb092168ae145a1b465663c020b9b946b6ad92072a4d14
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