Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

nvidia
/
parakeet-rnnt-0.6b

Automatic Speech Recognition
NeMo
Safetensors
PyTorch
Transformers
English
parakeet_rnnt
feature-extraction
speech
audio
Transducer
FastConformer
Conformer
NeMo
hf-asr-leaderboard
Eval Results (legacy)
Eval Results
Model card Files Files and versions
xet
Community
5

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

  • Libraries
  • NeMo

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

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

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

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

Add Open ASR Leaderboard evaluation results

#3 opened 3 months ago by
SaylorTwift

Context Size of RNNT variants of Parakeet

2
#1 opened over 2 years ago by
puvvadasaikiran
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs