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
# 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")Quick Links
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# 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")