Update README.md

README.md

@@ -114,7 +114,9 @@ The Cosmos-Embed1 release includes the following embedders:
 Note, while each checkpoint was optimized at a specific fixed resolution (and default to these), they all support arbitrary non-square resolutions.
 
 ### License
-This model is released under the  [NVIDIA Open Model License](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license). For a custom license, please contact [cosmos-license@nvidia.com](mailto:cosmos-license@nvidia.com).
+This model is released under the  [NVIDIA Open Model License](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license). Additional Information: [Apache License 2.0](https://github.com/facebookresearch/perception_models/blob/main/LICENSE.PE); [MIT](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/mit.md).
+
+For a custom license, please contact [[email protected]](mailto:[email protected]).
 
 Under the NVIDIA Open Model License, NVIDIA confirms:
 
@@ -363,7 +365,7 @@ Technical Limitations:
 Verified to have met prescribed NVIDIA quality standards:  |  Yes
 Performance Metrics:                                                                                   |  Classification metrics (F1-score, accuracy), retrieval metrics (T2V recall@1, V2T recall@1)
 Potential Known Risks:                                                                                 |  Embedder's output can include all forms of input, including what may be considered toxic, offensive, or indecent.
-Licensing:                                                                                             |  [NVIDIA Open Model License](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license)
+Licensing:                                                                                             |  [NVIDIA Open Model License](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license). Additional Information: [Apache License 2.0](https://github.com/facebookresearch/perception_models/blob/main/LICENSE.PE); [MIT](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/mit.md).
 
 
 ### Privacy
@@ -381,5 +383,5 @@ Field                                               |  Response
 :---------------------------------------------------|:----------------------------------
 Model Application(s):                               |  Embedding of text and videos for physical AI applications (robotics, autonomous vehicles).
 Describe the life critical impact (if present).   |  None Known
-Use Case Restrictions:                              |  [NVIDIA Open Model License](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license)
+Use Case Restrictions:                              |  [NVIDIA Open Model License](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license) Additional Information: [Apache License 2.0](https://github.com/facebookresearch/perception_models/blob/main/LICENSE.PE); [MIT](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/mit.md).
 Model and dataset restrictions:            |  The Principle of least privilege (PoLP) is applied limiting access for dataset generation and model development.  Restrictions enforce dataset access during training, and dataset license constraints adhered to. Model checkpoints are made available on Hugging Face, and may become available on cloud providers' model catalog.