Instructions to use faaany/vit-base-beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use faaany/vit-base-beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="faaany/vit-base-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("faaany/vit-base-beans") model = AutoModelForImageClassification.from_pretrained("faaany/vit-base-beans") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b7df4d6c8357d08db1ab3199f46f772232a5a6380d42859a26107929c1a61f4
- Size of remote file:
- 5.43 kB
- SHA256:
- 4d0c0f001aac6eb00a6195c00b2b83c9ec7ed61307d42ed88c5a3d240d259726
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