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:
- 3a13f1e78e095a99fc5054fb5b6f166db489dac92ee6ed934bf4b3af0312df32
- Size of remote file:
- 627 Bytes
- SHA256:
- 47ccac7cc41bc4265e8ce2775b4b17b7dbc2e9a12fcead9bbbbf6eaa978c17f7
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