---
license: mit
---

# TVLT 

Textless Vision-Language Transformer (TLVT) model, pre-trained-only. It was introduced in the paper [TVLT: Textless Vision-Language Transformer](https://arxiv.org/abs/2209.14156) by Tang et al. and first released in [this repository](https://github.com/zinengtang/TVLT).

Disclaimer: The team releasing TVLT did not write a model card for this model so this model card has been written by the Hugging Face team.

## Model description

TVLT is based on the [MAE model](https://huggingface.co/docs/transformers/model_doc/vit_mae), but extends it to audio-visual pre-training.

## Intended uses & limitations

It's recommended to fine-tune the model on a task that involves audio and/or video.

### How to use

For code examples, we refer to the [documentation](https://huggingface.co/docs/transformers/main/en/model_doc/tvlt).

### BibTeX entry and citation info

```bibtex
@misc{https://doi.org/10.48550/arxiv.2209.14156,
  doi = {10.48550/ARXIV.2209.14156},
  
  url = {https://arxiv.org/abs/2209.14156},
  
  author = {Tang, Zineng and Cho, Jaemin and Nie, Yixin and Bansal, Mohit},
  
  keywords = {Computer Vision and Pattern Recognition (cs.CV), Artificial Intelligence (cs.AI), Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
  
  title = {TVLT: Textless Vision-Language Transformer},
  
  publisher = {arXiv},
  
  year = {2022},
  
  copyright = {arXiv.org perpetual, non-exclusive license}
}
```