Instructions to use NDSrex/Beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NDSrex/Beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="NDSrex/Beans") 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("NDSrex/Beans") model = AutoModelForImageClassification.from_pretrained("NDSrex/Beans", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1d154d065abca56f4d732b551468d75b61fb1193f9fc5980cf5c173df859c0b
- Size of remote file:
- 687 MB
- SHA256:
- 656817bfa6a22aa8943bf0da0421dc07683b885df8cc35d91a24f711f492f8e4
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