Create README.md

Author: NielsRogge

DPT/README.md

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+# DPT notebooks
+
+DPT (Dense Prediction Transformer) is a model that can be used for dense prediction tasks (meaning, predicting things per pixel), such as depth estimation and semantic segmentation.
+
+DPT was recently updated to leverage the `AutoBackbone` class, which enables it to leverage any `xxxBackbone` class in the Transformers library. This means that one can combine DPT
+with a DINOv2 backbone, for instance:
+
+```
+from transformers import Dinov2Config, DPTConfig, DPTForDepthEstimation
+
+backbone_config = Dinov2Config.from_pretrained("facebook/dinov2-base", out_features=["stage1", "stage2", "stage3", "stage4"])
+config = DPTConfig(backbone_config=backbone_config)
+
+model = DPTForDepthEstimation(config=config)
+```
+
+DPT checkpoints are on the hub, e.g.: https://huggingface.co/Intel/dpt-large
+
+DPT checkpoints with a DINOv2 backbone are also on the hub: https://huggingface.co/models?pipeline_tag=depth-estimation&other=dinov2&sort=trending.