Automatic Speech Recognition
NeMo
PyTorch
speech-recognition
unified-asr
offline-asr
streaming-asr
speech
audio
FastConformer
RNNT
Parakeet
ASR
NeMo
Eval Results (legacy)
Instructions to use nvidia/parakeet-unified-en-0.6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/parakeet-unified-en-0.6b with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("nvidia/parakeet-unified-en-0.6b") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Regarding training code and NeMo fine-tuning script
#5
by liubqq - opened
Hi, thank you so much for sharing this amazing model!
I was wondering if you have plans to release the fine-tuning code and training code for this model. Also, there is a general fine-tuning script in the NVIDIA NeMo repository (https://github.com/NVIDIA-NeMo/NeMo/blob/main/examples/asr/speech_to_text_finetune.py), would this script be compatible with your model?
Hi @liubqq , thank you for the feedback!
We plan to release the training/fine-tuning code in 2-3 months. For now, we are focusing on a multilingual solution.
BTW, what latency are you targeting during streaming decoding?