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- Update README.md (7ea9b95ee848f488a302aaf9288d43d4f1868395)

README.md

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 # DPT 3.1 (BEiT backbone)
 
-DPT (Dense Prediction Transformer) model trained on 1.4 million images for monocular depth estimation. It was introduced in the paper [Vision Transformers for Dense Prediction](https://arxiv.org/abs/2103.13413) by Ranftl et al. (2021) and first released in [this repository](https://github.com/isl-org/DPT). 
+DPT (Dense Prediction Transformer) model trained on 1.4 million images for monocular depth estimation. It was introduced in the paper [Vision Transformers for Dense Prediction](https://arxiv.org/abs/2103.13413) by Ranftl et al. (2021) and first released in [this repository](https://github.com/isl-org/MiDaS/tree/master). 
 
 Disclaimer: The team releasing DPT did not write a model card for this model so this model card has been written by the Hugging Face team.