Instructions to use capofwesh20/bean_leaf_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use capofwesh20/bean_leaf_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="capofwesh20/bean_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("capofwesh20/bean_leaf_classifier") model = AutoModelForImageClassification.from_pretrained("capofwesh20/bean_leaf_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 071de0a2902df13933d006c87a00a83bd0232e505a5fe2601ca17d94166a6572
- Size of remote file:
- 343 MB
- SHA256:
- 2983e6f82f6443634d555730ec0d37bd299d13f514e30bc7bc46d4e52e81ff62
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