Vision and Language Transformer (ViLT), fine tuned on VQAv2 Vision and Language Transformer (ViLT) model fine tuned on VQAv2. It was introduced in the paper ViLT: Vision and Language Transformer Without Convolution or Region Supervision by Kim et al. and first released in this repository. 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. Intended uses & limitations You can use the raw model for visual question answering. How to use Here is how to use this model in PyTorch: Training data (to do) Training procedure Preprocessing (to do) Pretraining (to do) Evaluation results (to do) BibTeX entry and citation info
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