Instructions to use Phaedrus33/parakeet-tdt-0.6b-v3-children-v11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use Phaedrus33/parakeet-tdt-0.6b-v3-children-v11 with NeMo:
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- Notebooks
- Google Colab
- Kaggle
parakeet-tdt-0.6b-v3 - Fine-tuned on Children's Speech
Fine-tuned from nvidia/parakeet-tdt-0.6b-v3 on children's speech data from the DrivenData ASR competition.
Training config
- Mode: full
- Epochs: 15
- Batch size: 12 (accumulate: 2)
- Learning rate: 0.0001
- Precision: bf16-mixed
- Speed perturbation: True
Usage
import nemo.collections.asr as nemo_asr
model = nemo_asr.models.ASRModel.restore_from("best_model.nemo")
hypotheses = model.transcribe(["audio.flac"])
print(hypotheses[0].text)
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nvidia/parakeet-tdt-0.6b-v3
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