Contact and links edits

README.md

@@ -1,5 +1,10 @@
 ---
-{}
+license: cc
+datasets:
+- encord-team/E-MM1-100M
+- encord-team/E-MM1-1M
+language:
+- en
 ---
 
 # Model Card for `ebind-full`
@@ -50,7 +55,7 @@ The model produces unit-norm embeddings directly usable for similarity compariso
 This version loads all encoders.
 If you do not need all modalities, please refer to the [audio-vision](https://huggingface.co/encord-team/ebind-audio-vision) and [3D-points-vision](https://huggingface.co/encord-team/ebind-points-vision) only models.
 
-- **Developed by:** The Encord ML Team.
+- **Developed by:** The Encord ML Team ([ml@encord.com](mailto:ml@encord.com))
 - **Model type:** Multimodal embedding model.
 - **License:** The model is published under the [CC-BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.txt) license.
 
@@ -103,8 +108,8 @@ python -m pip install -e /path/to/ebind
 ```
 
 > [!WARNING]
-> If you are running a project with pytorch~=2.8.0, you should install torchcodec~=0.7.0 (as opposed to the ~=0.8.0)
-> which is automatically installed with uv. `torchcodec~=0.8.*` matches `pytorch~=2.9.0`.
+> If you are running a project with pytorch=2.8.0, you should install torchcodec=0.7.0 (as opposed to the =0.8.0)
+> which is automatically installed with uv. `torchcodec=0.8.*` matches `pytorch=2.9.0`.
 
 > [!NOTE]  
 > The 3D point cloud backbone has a few custom CUDA kernels that you might want to [compile](#compile-pointnet2-cuda-ops-optional).
@@ -227,3 +232,6 @@ We highlight that EBind is performing close to as well as models 4 and 17 times
 ## Citation [optional]
 
 **BibTeX:** Coming soon..
+
+## Try it now
+Explore the multimodal E-MM1 dataset behind this model [here](https://data.encord.com/e-mm1/explorer)!