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nvidia
/
parakeet-tdt-0.6b-v3

Automatic Speech Recognition
Transformers
NeMo
Safetensors
PyTorch
parakeet_tdt
feature-extraction
speech
audio
Transducer
Transformer
TDT
FastConformer
Conformer
NeMo
hf-asr-leaderboard
Transformers
Eval Results (legacy)
Eval Results
Model card Files Files and versions
xet
Community
44

Instructions to use nvidia/parakeet-tdt-0.6b-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nvidia/parakeet-tdt-0.6b-v3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="nvidia/parakeet-tdt-0.6b-v3")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("nvidia/parakeet-tdt-0.6b-v3", dtype="auto")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
parakeet-tdt-0.6b-v3
5.02 GB
Ctrl+K
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  • 7 contributors
History: 26 commits
nithinraok's picture
nithinraok
Update README.md
8844af9 verified 14 days ago
  • plots
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  • .gitattributes
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  • README.md
    42.3 kB
    Update README.md 14 days ago
  • config.json
    1.15 kB
    trfms-integration (#39) about 2 months ago
  • generation_config.json
    289 Bytes
    Add eos_token to tokenizer implicitly to help downstream vllm integrate (#43) 15 days ago
  • model.safetensors
    2.51 GB
    xet
    trfms-integration (#39) about 2 months ago
  • parakeet-tdt-0.6b-v3.nemo
    2.51 GB
    xet
    update model 10 months ago
  • processor_config.json
    392 Bytes
    trfms-integration (#39) about 2 months ago
  • tokenizer.json
    1.16 MB
    trfms-integration (#39) about 2 months ago
  • tokenizer_config.json
    290 Bytes
    Add eos_token to tokenizer implicitly to help downstream vllm integrate (#43) 15 days ago