Instructions to use OpenVoiceOS/dolphin-small-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use OpenVoiceOS/dolphin-small-onnx with ESPnet:
from espnet2.bin.asr_inference import Speech2Text model = Speech2Text.from_pretrained( "OpenVoiceOS/dolphin-small-onnx" ) speech, rate = soundfile.read("speech.wav") text, *_ = model(speech)[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 484f6d7a6359ca995f765ef906843f452b3f0129894e85ad86fd0bf9d8fc2ea6
- Size of remote file:
- 715 MB
- SHA256:
- 4dcafce542fddcbace27ec5045df145ccea6c904e2522faf0836f7777e364105
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