Automatic Speech Recognition
NeMo
PyTorch
Safetensors
speech
audio
Transducer
TDT
FastConformer
Conformer
NeMo
bf16
fp16
nvfp4
fp4
4-bit precision
quantization
Instructions to use lightware-dev/parakeet-tdt-0.6b-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use lightware-dev/parakeet-tdt-0.6b-v3 with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("lightware-dev/parakeet-tdt-0.6b-v3") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Add fp16 .nemo checkpoint (cast from upstream fp32)
Browse files- .gitattributes +1 -0
- parakeet-tdt-0.6b-v3-fp16.nemo +3 -0
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