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lightware-dev
/
parakeet-tdt-0.6b-v3

Automatic Speech Recognition
NeMo
PyTorch
Safetensors
speech
audio
Transducer
TDT
FastConformer
Conformer
NeMo
bf16
fp16
nvfp4
fp4
4-bit precision
quantization
Model card Files Files and versions
xet
Community

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
parakeet-tdt-0.6b-v3
3 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
z33b0t's picture
z33b0t
Mark the repo as a quantization of the base model, not a finetune
01747a7 verified 3 days ago
  • parakeet-tdt-0.6b-v3-nvfp4
    Add NVFP4 (4-bit) snapshot of parakeet-tdt-0.6b-v3 3 days ago
  • .gitattributes
    1.65 kB
    Add fp16 .nemo checkpoint (cast from upstream fp32) 4 days ago
  • README.md
    14.9 kB
    Mark the repo as a quantization of the base model, not a finetune 3 days ago
  • parakeet-tdt-0.6b-v3-bf16.nemo
    1.26 GB
    xet
    Add bf16 .nemo checkpoint (cast from upstream fp32) 4 days ago
  • parakeet-tdt-0.6b-v3-fp16.nemo
    1.26 GB
    xet
    Add fp16 .nemo checkpoint (cast from upstream fp32) 4 days ago