Instructions to use espnet/multi-talker-whisper-small-ami with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use espnet/multi-talker-whisper-small-ami with ESPnet:
from espnet2.bin.asr_inference import Speech2Text model = Speech2Text.from_pretrained( "espnet/multi-talker-whisper-small-ami" ) speech, rate = soundfile.read("speech.wav") text, *_ = model(speech)[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fafc46b1c1f6ed06068c7f2b2e8cbe83f1f305802e15b863e02f27ec726b2cab
- Size of remote file:
- 967 MB
- SHA256:
- 11008ed2cbf9399dadf3a31023c3a3e7e8daeb710cef4851dc6971a7522e3a07
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