Instructions to use RKoops/BeanLeafClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RKoops/BeanLeafClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="RKoops/BeanLeafClassifier") 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("RKoops/BeanLeafClassifier") model = AutoModelForImageClassification.from_pretrained("RKoops/BeanLeafClassifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6379236a1d4ce96a8784746c9ffb7f038ec7f5c7cbdb07742fcc99ed86b2503a
- Size of remote file:
- 3.38 kB
- SHA256:
- f4a3f616426a00f0941c104a40758ba6723e3ed5f2846eb7dc0fc94665dcc3db
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