Instructions to use immich-app/ViT-H-14__laion2b-s32b-b79k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use immich-app/ViT-H-14__laion2b-s32b-b79k with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("immich-app/ViT-H-14__laion2b-s32b-b79k", dtype="auto") - Notebooks
- Google Colab
- Kaggle
metadata
tags:
- immich
- clip
Model Description
This repo contains ONNX exports for the corresponding ViT-based CLIP model by OpenCLIP. See the OpenCLIP 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, a self-hosted photo library.