Add metadata, link to paper page

This PR adds the `pipeline_tag` and `library_name` to the model card. This ensures the model can be found on https://huggingface.co./models?pipeline_tag=depth-estimation.
It also links to the paper page on Hugging Face.

README.md

@@ -1,3 +1,31 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+library_name: pytorch
+pipeline_tag: depth-estimation
+---
+
+# Video Depth Anything
+
+This repository contains the model described in [Video Depth Anything: Consistent Depth Estimation for Super-Long Videos](https://huggingface.co/papers/2501.12375).
+
+Project Page: https://videodepthanything.github.io
+
+## About
+This model is based on [Depth Anything V2](https://github.com/DepthAnything/Depth-Anything-V2), and can be applied to arbitrarily long videos without compromising quality, consistency, or generalization ability. Compared with other diffusion-based models, it enjoys faster inference speed, fewer parameters, and higher consistent depth accuracy.
+
+## Usage
+```bash
+git clone https://github.com/DepthAnything/Video-Depth-Anything
+cd Video-Depth-Anything
+pip install -r requirements.txt
+```
+
+Download the checkpoints listed [here](#pre-trained-models) and put them under the `checkpoints` directory.
+```bash
+bash get_weights.sh
+```
+
+### Inference a video
+```bash
+python3 run.py --input_video ./assets/example_videos/davis_rollercoaster.mp4 --output_dir ./outputs --encoder vitl
+```