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nvidia
/
parakeet-ctc-0.6b

Automatic Speech Recognition
NeMo
Safetensors
Transformers
PyTorch
English
parakeet_ctc
speech
audio
FastConformer
Conformer
NeMo
hf-asr-leaderboard
ctc
Eval Results (legacy)
Eval Results
Model card Files Files and versions
xet
Community
6

Instructions to use nvidia/parakeet-ctc-0.6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • NeMo

    How to use nvidia/parakeet-ctc-0.6b with NeMo:

    import nemo.collections.asr as nemo_asr
    asr_model = nemo_asr.models.ASRModel.from_pretrained("nvidia/parakeet-ctc-0.6b")
    
    transcriptions = asr_model.transcribe(["file.wav"])
  • Transformers

    How to use nvidia/parakeet-ctc-0.6b with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="nvidia/parakeet-ctc-0.6b")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModelForCTC
    model = AutoModelForCTC.from_pretrained("nvidia/parakeet-ctc-0.6b", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Set layerdrop to 0.0 (the model was trained without stochastic depth)

1
#6 opened 29 days ago by
Steveeeeeeen

Add LS-test-clean to the table

#5 opened about 2 months ago by
awkrail

Add Open ASR Leaderboard evaluation results

#4 opened 7 months ago by
SaylorTwift

Wrong Usage Description

👍 2
#1 opened over 2 years ago by
Lukas98T
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