# Multilingual Image Captioning

PaliGemma 2 is an upgraded vision-language model developed by Google, combining the capabilities of Gemma 2, supporting image and text inputs to generate text outputs, suitable for various vision-language tasks.

An image-to-text model based on the transformers library, capable of converting image content into descriptive text.

PaliGemma is a 3B-parameter lightweight vision-language model developed by Google, built upon SigLIP vision model and Gemma language model, supporting image and text inputs to generate text outputs.

PaliGemma is a versatile lightweight vision-language model (VLM) built upon the SigLIP vision model and Gemma language model, supporting image and text inputs to generate text outputs

PaliGemma is a lightweight vision-language model developed by Google, built on the SigLIP vision model and the Gemma language model, supporting multilingual image-text understanding and generation.

PaliGemma is a lightweight vision-language model developed by Google, combining image understanding and text generation capabilities, supporting multilingual tasks.