Automatic Speech Recognition
NeMo
Persian
speech
FastConformer
Transducer
CTC
NeMo
persian
on-device
Instructions to use Reza2kn/shenava-fa-fastconformer-115m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use Reza2kn/shenava-fa-fastconformer-115m with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("Reza2kn/shenava-fa-fastconformer-115m") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
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