# Zero-shot Transfer Learning

AIM-v2 is an efficient image encoder model compatible with the timm framework, suitable for computer vision tasks.

A vision-language model fine-tuned using PMC_OA_beta and roco datasets, based on OpenAI's ViT-L-14 model, specializing in biomedical text-to-image tasks

An image segmentation model based on the Transformers library, supporting various image segmentation tasks.

BLOOMZ-7B1 is a multilingual, multitask large-scale language model supporting over 40 languages and multiple programming languages, suitable for various natural language processing tasks such as text generation and sentiment analysis.