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
- Xet hash:
- 69d944023f08a3e7cab982cce152844181f04ae90285aec1cd2ddb24bfc676c7
- Size of remote file:
- 459 MB
- SHA256:
- 3da63c8bd1f9a828c9e5f603718b598f786a416665754b1c1f037d378871a61d
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