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-tdt_ctc-110m

Automatic Speech Recognition
NeMo
PyTorch
English
speech
audio
Transducer
TDT
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-tdt_ctc-110m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • NeMo

    How to use nvidia/parakeet-tdt_ctc-110m with NeMo:

    import nemo.collections.asr as nemo_asr
    asr_model = nemo_asr.models.ASRModel.from_pretrained("nvidia/parakeet-tdt_ctc-110m")
    
    transcriptions = asr_model.transcribe(["file.wav"])
  • Notebooks
  • Google Colab
  • Kaggle
parakeet-tdt_ctc-110m
459 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 7 commits
SKostandian's picture
SKostandian
Update README.md
431a349 verified over 1 year ago
  • .gitattributes
    1.58 kB
    Upload parakeet-tdt_ctc-110m.nemo over 1 year ago
  • README.md
    10.1 kB
    Update README.md over 1 year ago
  • parakeet-tdt_ctc-110m.nemo
    459 MB
    xet
    Upload parakeet-tdt_ctc-110m.nemo over 1 year ago