Instructions to use immich-app/ViT-L-16-SigLIP-256__webli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use immich-app/ViT-L-16-SigLIP-256__webli with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("immich-app/ViT-L-16-SigLIP-256__webli", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 453 Bytes
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tags:
- immich
- clip
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# Model Description
This repo contains ONNX exports for the corresponding ViT-based CLIP model by OpenCLIP. See the [OpenCLIP](https://github.com/mlfoundations/open_clip) repo for more info.
Visual and textual encoders are separated into separate models for the purpose of generating image and text embeddings.
This repo is specifically intended for use with [Immich](https://immich.app/), a self-hosted photo library.
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