Instructions to use abyesilyurt/potato-leaf-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abyesilyurt/potato-leaf-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="abyesilyurt/potato-leaf-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("abyesilyurt/potato-leaf-classifier") model = AutoModelForImageClassification.from_pretrained("abyesilyurt/potato-leaf-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3dc279e2f3dd91a7b5c1e8c39e81188638fd88099b22aacc8c8ef8d8eb6bac61
- Size of remote file:
- 687 MB
- SHA256:
- c088aecd8c3d1cbd6ff25525526938aa04563d9728b879d4eb645b56e3a493eb
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