Automatic Speech Recognition
NeMo
speech-recognition
fastconformer
indic
multilingual
telephony
call-center
zero-shot-language-identification
rnn-t
Eval Results (legacy)
Instructions to use TieIncred/VaaniCall with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use TieIncred/VaaniCall with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("TieIncred/VaaniCall") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7bf576f3709c94fd84969b329703f1bf0e53abcbcf1c20a0883926912cded27a
- Size of remote file:
- 1.77 GB
- SHA256:
- 4e3168cd4a7ebdbd5f61ade4dbdcc7a7344bbc4314b5c8f896042ccfd0c9496a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.