Instructions to use StemsOut/test-beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StemsOut/test-beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="StemsOut/test-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("StemsOut/test-beans") model = AutoModelForImageClassification.from_pretrained("StemsOut/test-beans", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b72accb4a281ed1296ca7e6ba716b85e08c07581082b45a4068cde6aef0a9181
- Size of remote file:
- 3.9 kB
- SHA256:
- bb869b56e222bd34e91a695ae9a8478ab53ac31c22db1ebb3dfdf62458c833b9
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