Instructions to use espnet/xeus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use espnet/xeus with ESPnet:
from espnet2.bin.asr_inference import Speech2Text model = Speech2Text.from_pretrained( "espnet/xeus" ) speech, rate = soundfile.read("speech.wav") text, *_ = model(speech)[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- d31a2724fa924d0dff472ec4b8e051bdf53b9b77b08220857f63a634ad63ea9a
- Size of remote file:
- 2.31 GB
- SHA256:
- 4fd02581b4dd06736d1a6aa29e20c442afe3d9b299c88359f63320292a5c5cff
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