Instructions to use OpenVoiceOS/bsc-lt-los-conformer-transducer-large-punctuated-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use OpenVoiceOS/bsc-lt-los-conformer-transducer-large-punctuated-onnx with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("OpenVoiceOS/bsc-lt-los-conformer-transducer-large-punctuated-onnx") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 273d445171ce96e406aeb88d915c5214e2f9ebc0503c160b51ad9c83861499a5
- Size of remote file:
- 481 MB
- SHA256:
- 4d4129fc4c655bb6ea51f07149de5b68da64898fce9b61e0c7779be67e2f8b12
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