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
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# SigLIP-2 Vision Encoder (Base, Patch 16x16, 224px)
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This is the **vision-only** variant of [google/siglip2-base-patch16-224](https://huggingface.co/google/siglip2-base-patch16-224), containing just the vision encoder without the text model.
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## Usage
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```python
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# SigLIP-2 Vision Encoder (Base, Patch 16x16, 224px)
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This is the **vision-only** variant of [google/siglip2-base-patch16-224](https://huggingface.co/google/siglip2-base-patch16-224), containing just the vision encoder without the text model.
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