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:
import soundfile from espnet2.bin.asr_inference import Speech2Text model = Speech2Text.from_pretrained( "espnet/UniverSLU-17-Task-Specifier" ) speech, rate = soundfile.read("speech.wav") text, *_ = model(speech)[0] - Notebooks
- Google Colab
- Kaggle
Commit History
-
Add meta.yaml so espnet_model_zoo can load this model
Verified signature254419c -
Add a usage example to the model card
Verified signature13c805b
-
Set pipeline_tag: automatic-speech-recognition
Verified signature169f142
-
Update README.md
Verified signature1793fe7
-
Update README.md
Verified signature8580402 -
Update README.md
Verified signaturec786b31 -
Create README.md
Verified signature54ed9c5 -
Add Task Specifier model
“siddhu001”6916e78 -
initial commit
Verified signature0f2f29d