53 lines
1.1 KiB
Markdown
53 lines
1.1 KiB
Markdown
---
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license: apache-2.0
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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](https://visualqa.org/). 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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``` |