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:
- 0f72bcb2bd47b1d018c98fbe717f9d906f5e25ded6c6064c76d3c11d270d5875
- Size of remote file:
- 343 MB
- SHA256:
- a3de6204caef5f82fc4b04ae0381f7bd51184c68bd794e35e5625e3cf7c06a5c
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