Instructions to use espnet/UniverSLU-17-Task-Specifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use espnet/UniverSLU-17-Task-Specifier with ESPnet:
unknown model type (must be text-to-speech or automatic-speech-recognition)
- Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -13,7 +13,7 @@ language:
|
|
| 13 |
|
| 14 |
## UniverSLU-17 Task Specifier
|
| 15 |
|
| 16 |
-
UniverSLU-17 is a Multi-task Spoken Language Understanding model from CMU WAVLab.
|
| 17 |
It adapts Whisper to additional tasks using single-token task specifiers.
|
| 18 |
More details about the SLU tasks that the model is trained on and it's performance on these tasks can be found in our paper: https://aclanthology.org/2024.naacl-long.151/
|
| 19 |
|
|
|
|
| 13 |
|
| 14 |
## UniverSLU-17 Task Specifier
|
| 15 |
|
| 16 |
+
UniverSLU-17 Task Specifier is a Multi-task Spoken Language Understanding model from CMU WAVLab.
|
| 17 |
It adapts Whisper to additional tasks using single-token task specifiers.
|
| 18 |
More details about the SLU tasks that the model is trained on and it's performance on these tasks can be found in our paper: https://aclanthology.org/2024.naacl-long.151/
|
| 19 |
|