Instructions to use suredream/vit-base-beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use suredream/vit-base-beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="suredream/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("suredream/vit-base-beans") model = AutoModelForImageClassification.from_pretrained("suredream/vit-base-beans") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d86c863fcacfc7ff0fc7eff5ce0d805c428d8eac7e7f53f7eb68b0c14c7f46a
- Size of remote file:
- 5.24 kB
- SHA256:
- f75d2a3277204d014eae4074f61ce2f7441d46588f766d462238c13f09de6204
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