Update README.md

README.md

@@ -118,6 +118,7 @@ depth
 ```
 
 or one can use the pipeline API:
+```python
 from transformers import pipeline
 
 pipe = pipeline(task="depth-estimation", model="Intel/dpt-swinv2-large-384")
@@ -145,7 +146,23 @@ result["depth"]
 | ViT-L Reversed | 0.071 | 0.073 | 0.081  | 
 | Swin-L Equidistant  | 0.072 | 0.074  | 0.083  | 
 | --- | --- | --- | --- |
- 
+
+# Ethical Considerations and Limitations
+dpt-swinv2-large-384 can produce factually incorrect output, and should not be relied on to produce factually accurate information. Because of the limitations of the pretrained model and the finetuning datasets, it is possible that this model could generate lewd, biased or otherwise offensive outputs.
+
+Therefore, before deploying any applications of dpt-swinv2-large-384, developers should perform safety testing.
+
+# Caveats and Recommendations
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model.
+
+Here are a couple of useful links to learn more about Intel's AI software:
+
+- Intel Neural Compressor [link](https://github.com/intel/neural-compressor)
+- Intel Extension for Transformers [link](https://github.com/intel/intel-extension-for-transformers)
+
+# Disclaimer
+The license on this model does not constitute legal advice. We are not responsible for the actions of third parties who use this model. Please cosult an attorney before using this model for commercial purposes.
+
 ### BibTeX entry and citation info
 
 ```bibtex