Create README.md

README.md

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+---
+license: "mit"
+tags:
+- vision
+- video-classification
+---
+
+# ViViT (Video Vision Transformer) 
+
+ViViT model as introduced in the paper [ViViT: A Video Vision Transformer](https://arxiv.org/abs/2103.15691) by Arnab et al. and first released in [this repository](https://github.com/google-research/scenic/tree/main/scenic/projects/vivit). 
+
+Disclaimer: The team releasing ViViT did not write a model card for this model so this model card has been written by the Hugging Face team.
+
+## Model description
+
+ViViT is an extension of the [Vision Transformer (ViT)](https://huggingface.co/docs/transformers/v4.27.0/model_doc/vit) to video.
+
+We refer to the paper for details.
+
+## Intended uses & limitations
+
+The model is mostly meant to intended to be fine-tuned on a downstream task, like video classification. See the [model hub](https://huggingface.co/models?filter=vivit) to look for fine-tuned versions on a task that interests you.
+
+### How to use
+
+For code examples, we refer to the [documentation](https://huggingface.co/transformers/main/model_doc/vivit).
+
+### BibTeX entry and citation info
+
+```bibtex
+@misc{arnab2021vivit,
+      title={ViViT: A Video Vision Transformer}, 
+      author={Anurag Arnab and Mostafa Dehghani and Georg Heigold and Chen Sun and Mario Lučić and Cordelia Schmid},
+      year={2021},
+      eprint={2103.15691},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV}
+}
+```