# WebLI pretraining

SigLIP 2 vision-language model trained on WebLI dataset, suitable for zero-shot image classification tasks

SigLIP 2 vision-language model trained on WebLI dataset, supporting zero-shot image classification tasks.

SigLIP 2 vision-language model trained on WebLI dataset, supporting zero-shot image classification

SigLIP 2 vision-language model trained on WebLI dataset, supporting zero-shot image classification tasks

SigLIP 2 vision-language model trained on WebLI dataset, supporting zero-shot image classification

SigLIP 2 vision-language model trained on WebLI dataset, supporting zero-shot image classification tasks

SigLIP 2 vision-language model trained on the WebLI dataset, supporting zero-shot image classification tasks

SigLIP is a vision-language model pretrained on the WebLi dataset, utilizing an improved sigmoid loss function, excelling in image classification and image-text retrieval tasks.

A SigLIP (Sigmoid Loss for Language-Image Pre-training) model trained on the WebLI dataset, suitable for zero-shot image classification tasks.

A SigLIP (Sigmoid Loss for Language-Image Pretraining) model trained on the WebLI dataset, suitable for zero-shot image classification tasks.

SigLIP (Sigmoid Loss for Language-Image Pre-training) model trained on the WebLI dataset for zero-shot image classification tasks.

SigLIP (Sigmoid Loss Language-Image Pretraining) model trained on the WebLI dataset for zero-shot image classification tasks

A SigLIP (Sigmoid Loss for Language-Image Pre-training) model trained on the WebLI dataset, suitable for zero-shot image classification tasks.

SigLIP is a vision-language model pretrained on the WebLi dataset, utilizing an improved Sigmoid loss function to optimize image-text matching tasks