# Multimodal Image Encoding

Vision Transformer model based on SigLIP, utilizing global average pooling for image features

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

Vision Transformer model based on CLIP architecture, containing only the image encoder part, suitable for image feature extraction tasks

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

ConvNeXt-Large image encoder based on the CLIP framework, trained on the LAION-2B dataset, supports visual feature extraction