Update README.md

README.md

@@ -58,30 +58,18 @@ Minimum Configuration Required:
 The performance of the ONNX vision model is similar to [Phi-3.5-mini-instruct-onnx](https://huggingface.co/microsoft/Phi-3.5-mini-instruct-onnx) during token generation.
 
 ## Base Model Usage and Considerations
-**Primary use cases**
+For details and RAI considerations of the base model, please refer to [here](https://huggingface.co/microsoft/Phi-3.5-vision-instruct).
 
-The model is intended for broad commercial and research use in English. The model provides uses for general purpose AI systems and applications with visual and text input capabilities which require 
-
-1) memory/compute constrained environments;
-2) latency bound scenarios;
-3) general image understanding;
-4) OCR;
-5) chart and table understanding.
-
-Our model is designed to accelerate research on efficient language and multimodal models, for use as a building block for generative AI powered features.
-
-**Use case considerations**
-
-Our models are not specifically designed or evaluated for all downstream purposes. Developers should consider common limitations of language models as they select use cases, and evaluate and mitigate for accuracy, safety, and fairness before using within a specific downstream use case, particularly for high-risk scenarios.
-
-Developers should be aware of and adhere to applicable laws or regulations (including privacy, trade compliance laws, etc.) that are relevant to their use case. 
-
-Nothing contained in this Model Card should be interpreted as or deemed a restriction or modification to the license the model is released under.
+Please note that ONNX model output may vary slightly from the base model. The users are responsible for verifying the output for their scenarios and own responsibility of the usage.
 
 ## Appendix
 
 ## Model Card Contact
-parinitarahi, kvaishnavi, natke
+parinitarahi, kvaishnavi, natke, yunl, sunghcho
 
 ## Contributors
 Kunal Vaishnavi, Sunghoon Choi, Yufeng Li, Baiju Meswani, Sheetal Arun Kadam, Rui Ren, Natalie Kershaw, Parinita Rahi, Patrice Vignola, Xiang Zhang, Chai Chaoweeraprasit, Logan Iyer, Vicente Rivera, Jacques Van Rhyn, Yun Liu
+
+## Trademarks 
+
+This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow [Microsoft’s Trademark & Brand Guidelines](https://www.microsoft.com/en-us/legal/intellectualproperty/trademarks). Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party’s policies.