Instructions to use initial01/vit-base-beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use initial01/vit-base-beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="initial01/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("initial01/vit-base-beans") model = AutoModelForImageClassification.from_pretrained("initial01/vit-base-beans") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f608344d6cfde998be1b1ab00a5415451704707f0aaa03f055c5936e887fbc9d
- Size of remote file:
- 5.37 kB
- SHA256:
- 06c727cb00cbdb5ecafce18c5a6377de947792641407c9369a8d5b26f3ff0a22
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