Update README.md

README.md

@@ -31,7 +31,7 @@ This model is ready for commercial/non-commercial use.
 
 ### License/Terms of use
 
-The use of this model is governed by the [NVIDIA Open Model License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/) and the use of the post-processing scripts are licensed under Apache 2.0.
+The use of this model is governed by the [NVIDIA Open Model License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/) and the use of the post-processing scripts are licensed under [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0.txt).
 
 **You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.**
 
@@ -233,8 +233,6 @@ NVIDIA believes Trustworthy AI is a shared responsibility and we have establishe
 
 **For more detailed information on ethical considerations for this model**, please see the Model Card++ [Explainability](explainability.md), [Bias](bias.md), [Safety & Security](safety-security.md), and [Privacy](privacy.md) Subcards.
 
-Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).
-
 
 ## Bias
 
@@ -257,7 +255,7 @@ Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.
 | Verified to have met prescribed NVIDIA quality standards: | Yes |
 | Performance Metrics: | Mean Average Precision, detectionr recall and visual inspection |
 | Potential Known Risks: | This model may not always detect all elements in a document. |
-| Licensing & Terms of Use: | Use of this model is governed by the [NVIDIA Open Model License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/) and the [Apache 2.0 License](https://github.com/Megvii-BaseDetection/YOLOX/blob/main/LICENSE). |
+| Licensing & Terms of Use: | Use of this model is governed by the [NVIDIA Open Model License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/) and the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0.txt). |
 
 ## Privacy
 
@@ -280,5 +278,3 @@ Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.
 | Describe the life critical impact (if present). | Not Applicable |
 | Use Case Restrictions: | Abide by [NVIDIA Open Model License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/).   |
 | 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. |
-
-## Third Party License Notices