Instructions to use OpenVoiceOS/stt-eu-conformer-transducer-large-coreml-6bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use OpenVoiceOS/stt-eu-conformer-transducer-large-coreml-6bit with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("OpenVoiceOS/stt-eu-conformer-transducer-large-coreml-6bit") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0fb3304cf2aad009a800d69a5ceef59adccf34bc3a3aad15f49f05da403fc4fa
- Size of remote file:
- 6.23 kB
- SHA256:
- b7a097abfd9471c3382c696e23b0310561751df0b73809fab06c6126a5795055
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