Instructions to use Hayloo9838/siglip2-vision-only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hayloo9838/siglip2-vision-only with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="Hayloo9838/siglip2-vision-only")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Hayloo9838/siglip2-vision-only", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Configuration Parsing Warning:In config.json: "architectures" must be an array
SigLIP-2 Vision Encoder (Base, Patch 16x16, 224px)
This is the vision-only variant of google/siglip2-base-patch16-224, containing just the vision encoder without the text model.
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Model tree for Hayloo9838/siglip2-vision-only
Base model
google/siglip2-base-patch16-224