Instructions to use rahult/bean_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rahult/bean_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="rahult/bean_classification") 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("rahult/bean_classification") model = AutoModelForImageClassification.from_pretrained("rahult/bean_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c2afe408df3f108d8f7ef14c99e973eb74594c6a7011b75db1b44f137eb1ec7
- Size of remote file:
- 3.38 kB
- SHA256:
- 657ba927ec315b1913c41d69c8b451f99168d6d6290415a6b2d1492696b1a5a4
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