Automatic Speech Recognition
NeMo
speech
audio
fastconformer
mixture-of-experts
multilingual
child-speech
adult-speech
inclusive-ai
Instructions to use TUDelft/inclusive-asr-moe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use TUDelft/inclusive-asr-moe with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("TUDelft/inclusive-asr-moe") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f06e15f3ce9618dfdc6a7629c5792aa7745538f436750ed19d5b9f59a47482e
- Size of remote file:
- 1.33 GB
- SHA256:
- a96f87172cd139b3501383f092592490f53a518c8232a4040712986bdaaf45d3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.