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:
- 45a4018ac406821f095a14e2dcd2deb4824d145bb0e2f10b5552b372083920c8
- Size of remote file:
- 343 MB
- SHA256:
- 8755c440f76951eba08deedff15803319915574dca10158cb095f99ea531c8a9
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