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
- LM Studio
- Xet hash:
- fbba3f93a55c2088e81b38d50d7ef3fa73e7c713dc111179eefcfb9e11a50462
- Size of remote file:
- 20.5 MB
- SHA256:
- 9954425d38ea74b0fed2ea2a26a70406ef34441c8a643284e02a3bc73320fbd9
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