Instructions to use amyeroberts/vit-base-beans-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amyeroberts/vit-base-beans-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="amyeroberts/vit-base-beans-1") 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("amyeroberts/vit-base-beans-1") model = AutoModelForImageClassification.from_pretrained("amyeroberts/vit-base-beans-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95ee4a0bc6aa99ee0b387771e2890ca2c8d55e09b79a0015df7744aba633ceab
- Size of remote file:
- 5.18 kB
- SHA256:
- d6368b893c0eb20f777f61a97d4a193188e85488596d641933778b6809c38000
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