Instructions to use UCSC-VLAA/openvision-vit-tiny-patch16-160 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UCSC-VLAA/openvision-vit-tiny-patch16-160 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="UCSC-VLAA/openvision-vit-tiny-patch16-160")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("UCSC-VLAA/openvision-vit-tiny-patch16-160", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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