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--- |
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license: apache-2.0 |
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tags: |
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datasets: |
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- imagenet-21k |
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--- |
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# Vision-and-Language Transformer (ViLT), fine-tuned on VQAv2 |
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Vision-and-Language Transformer (ViLT) model fine-tuned on [VQAv2](). It was introduced in the paper [ViLT: Vision-and-Language Transformer |
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Without Convolution or Region Supervision](https://arxiv.org/abs/2102.03334) by Kim et al. and first released in [this repository](https://github.com/dandelin/ViLT). |
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Disclaimer: The team releasing ViLT 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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(to do) |
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## Intended uses & limitations |
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You can use the raw model for visual question answering. |
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### How to use |
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(to do) |
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## Training data |
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(to do) |
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## Training procedure |
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### Preprocessing |
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(to do) |
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### Pretraining |
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(to do) |
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## Evaluation results |
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(to do) |
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### BibTeX entry and citation info |
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```bibtex |
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@misc{kim2021vilt, |
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title={ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision}, |
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author={Wonjae Kim and Bokyung Son and Ildoo Kim}, |
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year={2021}, |
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eprint={2102.03334}, |
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archivePrefix={arXiv}, |
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primaryClass={stat.ML} |
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} |
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``` |
