# Video Caption Generation

Tarsier-34b is an open-source large-scale video-language model focused on generating high-quality video captions and achieving leading results in multiple public benchmarks.

A video caption generation model based on Timesformer and BERT architectures, capable of generating descriptive captions for video content.

GIT is a Transformer decoder conditioned on CLIP image tokens and text tokens, designed for tasks like image and video caption generation and visual question answering.

GIT is a Transformer-based generative image-to-text model, with the base version fine-tuned on the VATEX dataset, suitable for tasks such as image and video caption generation.