Add pipeline tag and library_name (#1)

- Add pipeline tag and library_name (b266ee0d02df6c43e6e6e508f81f0a57382f94d6)
- Update README.md (0261a9b4b4c75a8d021e19faeb8540007ce63987)


Co-authored-by: Niels Rogge <[email protected]>

README.md

@@ -3,7 +3,10 @@ license: cc-by-4.0
 tags:
 - audio quality
 - audio aesthetics
+library_name: pytorch
+pipeline_tag: audio-classification
 ---
+
 # Model Summary
 audiobox-aesthetics is a unified automatic quality assessment for speech, music, and sound.
 
@@ -94,4 +97,4 @@ If you found this repository useful, please cite the following BibTeX entry.
 ```
 ## License
 The majority of audiobox-aesthetics is licensed under CC-BY 4.0, as found in the LICENSE file.
-However, portions of the project are available under separate license terms: [https://github.com/microsoft/unilm](https://github.com/microsoft/unilm) is licensed under MIT license.
+However, portions of the project are available under separate license terms: [https://github.com/microsoft/unilm](https://github.com/microsoft/unilm) is licensed under MIT license.