Automatic Speech Recognition
NeMo
PyTorch
English
speech
audio
Transducer
TDT
FastConformer
Conformer
NeMo
hf-asr-leaderboard
Eval Results (legacy)
Eval Results
Instructions to use nvidia/parakeet-tdt-1.1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/parakeet-tdt-1.1b with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("nvidia/parakeet-tdt-1.1b") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
How to handle long audio files?
#6
by q00u - opened
I have a transcriber that uses this model and the 0.6b-v2/v3 models. For shorter audio files, they all work great. For longer files, 0.6b-v2/v3 chunk correctly, but THIS model somehow causes a [WinError 267] error.
Error during transcription processing: [WinError 267] The directory name is invalid: 'E:\\tmp\\tmp4f90fr0a\\manifest.json'
Now, that manifest file exists, but from the error it sounds like it's trying to access it like a directory.
What's the correct way to configure this 1.1b model for longer audio files? We know it's not the same as the 0.6b-v2/v3 models.