Instructions to use HieuVo/vit-base-beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HieuVo/vit-base-beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="HieuVo/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("HieuVo/vit-base-beans") model = AutoModelForImageClassification.from_pretrained("HieuVo/vit-base-beans") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55845dc6ade4c8c3602cf9c268e1d78e26f024623be044e2a118742ae8cbc473
- Size of remote file:
- 5.3 kB
- SHA256:
- ef3a947047a81a10971617cab0e574b4449d81e411643745a32e8851344121b6
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