Update README.md

README.md

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 # Model Card for PartPacker
 
-## Description:
+## Description
 PartPacker takes a single input image and generates a 3D shape with an arbitrary number of complete parts. 
 We introduce a dual volume packing strategy that organizes all parts into two complementary volumes, allowing for the creation of complete and interleaved parts that assemble into the final object. 
 This model is ready for non-commercial use.
 
-## License/Terms of Use:
+## License/Terms of Use
 [NVIDIA Non-Commercial License](https://huggingface.co/nvidia/PartPacker/blob/main/LICENSE)
 
-## Model Architecture:
+## Model Architecture
 **Architecture Type:** Transformer
 
-## Input:
+## Input
 **Input Type(s):** Image  
 **Input Format(s):** RGB Image  
 **Input Parameters:** 2D Image  
 **Other Properties Related to Input:** Condition for the model.  
 
-## Output:
+## Output
 **Output Type(s):** Mesh  
 **Output Format:** GLB  
 **Output Parameters:** 3D Mesh  
@@ -38,20 +38,20 @@ This model is ready for non-commercial use.
 ## Supported Operating System(s)
 * Linux
 
-## Model Version(s):
+## Model Version(s)
 v1.0
 
-## Training Dataset:
+## Training Dataset
 [Objaverse-XL](https://objaverse.allenai.org/)  
 **Properties:** We use about 250k mesh data, which is a subset from the Objaverse-XL with part-level annotations.  
 **Dataset License(s):** The use of the dataset as a whole is licensed under the ODC-By v1.0 license.  
 
 
-## Inference:
+## Inference
 Pytorch
 
 
-## Ethical Considerations:
+## Ethical Considerations
 NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications.  When downloaded or used in accordance with our terms of service, developers should work with their internal model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.
 
 Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).