Instructions to use solve/vit-zigzag-attribute-768dim-patch16-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use solve/vit-zigzag-attribute-768dim-patch16-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="solve/vit-zigzag-attribute-768dim-patch16-224")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("solve/vit-zigzag-attribute-768dim-patch16-224") model = AutoModel.from_pretrained("solve/vit-zigzag-attribute-768dim-patch16-224") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b415a48332a232d432f31c6f964a04c49ffd9d65d0fa3e6cbd76c6b375399433
- Size of remote file:
- 346 MB
- SHA256:
- 5c1752d132372a257f9ad9752ae172207abe9ad38c539bc9869ff809c79f2d56
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