Update README.md

README.md

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-library_name: dust3r
+library_name: das3r
 tags:
 - image-to-3d
 - model_hub_mixin
@@ -8,4 +8,35 @@ tags:
 
 This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
 - Library: https://github.com/kai422/DAS3R
-- Docs: [More Information Needed]
+- Docs: [More Information Needed]
+
+## DAS3R: Dynamics-Aware Gaussian Splatting for Static Scene Reconstruction
+
+<video controls autoplay loop>
+  <source src="https://kai422.github.io/DAS3R/assets/davis.mp4" type="video/mp4">
+  Your browser does not support the video tag.
+</video>
+
+<video controls autoplay loop>
+  <source src="https://kai422.github.io/DAS3R/assets/sintel.mp4" type="video/mp4">
+  Your browser does not support the video tag.
+</video>
+
+# Model info
+
+- GitHub page: https://github.com/kai422/DAS3R
+- Project page: https://kai422.github.io/DAS3R/
+
+# How to use
+
+First, [install das3r](https://github.com/kai422/DAS3R).
+To load the model:
+
+```python
+from dust3r.model import AsymmetricCroCo3DStereo
+import torch
+
+model = AsymmetricCroCo3DStereo.from_pretrained("Kai422kx/das3r_checkpoint-last.pth")
+
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+model.to(device)