Instructions to use ayoubkirouane/VIT_Beans_Leaf_Disease_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayoubkirouane/VIT_Beans_Leaf_Disease_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ayoubkirouane/VIT_Beans_Leaf_Disease_Classifier") 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("ayoubkirouane/VIT_Beans_Leaf_Disease_Classifier") model = AutoModelForImageClassification.from_pretrained("ayoubkirouane/VIT_Beans_Leaf_Disease_Classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9aa70e05456dd8c487d5085035eab0df7d7a80922c168e7a7c80ad1f21c9b9c5
- Size of remote file:
- 4.03 kB
- SHA256:
- 0ca55f7de4f67f68068e54cfc40f8d9d9017cd73c2843a58462c60fbb765bfbf
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