Automatic Speech Recognition
ONNX
NeMo
Belarusian
onnx-asr
nemo-conformer-ctc
speech-to-text
ctc
fastconformer
openvoiceos
Instructions to use OpenVoiceOS/stt_be_fastconformer_hybrid_large_pc_onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use OpenVoiceOS/stt_be_fastconformer_hybrid_large_pc_onnx with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("OpenVoiceOS/stt_be_fastconformer_hybrid_large_pc_onnx") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab91c8a95928344268538f16d1c39cb980be6f7d3b1bb00a1f10b9b976923916
- Size of remote file:
- 132 MB
- SHA256:
- 893c113e54117114c39e5fa846cc4023a3b8ab5bdd8304049aa9ee71792dc314
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