Instructions to use OpenVoiceOS/stt-eu-conformer-transducer-large-coreml 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 with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("OpenVoiceOS/stt-eu-conformer-transducer-large-coreml") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
stt-eu-conformer-transducer-large-coreml / parakeet_decoder.mlpackage /Data /com.apple.CoreML /model.mlmodel
- Xet hash:
- e0e83080f39ed05083c93bc6ae155347abaa22028b528d2ba881184c82270819
- Size of remote file:
- 5.39 kB
- SHA256:
- e89341b735d7ea7636c34cb206bbd366eab8a4f555c2485bb89d48342bf9e1eb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.