# CLIP Architecture Optimization

Vision Transformer model based on CLIP architecture, designed for image feature extraction, trained on the laion2B dataset

ConvNeXt-Large image encoder based on CLIP architecture, fine-tuned on the LAION-2B dataset, supporting 320x320 resolution image feature extraction

A multimodal foundation model based on ViT-B/16 visual encoder and PubMedBERT text encoder trained on the Quilt-1M pathology video dataset

A CLIP ViT-B/32 vision-language foundation model trained on the Quilt-1M pathology video dataset, specifically designed for histological analysis

AltCLIP-m9 is a multilingual CLIP model supporting 9 languages, providing support for multilingual text-to-image models.