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license: mit |
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# TVLT |
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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). |
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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. |
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## Model description |
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TVLT is based on the [MAE model](https://huggingface.co/docs/transformers/model_doc/vit_mae), but extends it to audio-visual pre-training. |
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## Intended uses & limitations |
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It's recommended to fine-tune the model on a task that involves audio and/or video. |
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### How to use |
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For code examples, we refer to the [documentation](https://huggingface.co/docs/transformers/main/en/model_doc/tvlt). |
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### BibTeX entry and citation info |
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```bibtex |
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@misc{https://doi.org/10.48550/arxiv.2209.14156, |
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doi = {10.48550/ARXIV.2209.14156}, |
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url = {https://arxiv.org/abs/2209.14156}, |
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author = {Tang, Zineng and Cho, Jaemin and Nie, Yixin and Bansal, Mohit}, |
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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}, |
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title = {TVLT: Textless Vision-Language Transformer}, |
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publisher = {arXiv}, |
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year = {2022}, |
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copyright = {arXiv.org perpetual, non-exclusive license} |
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} |
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``` |
