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ConwayResearch
/
Underdog-Bark-3.0

Automatic Speech Recognition
Transformers
Core ML
MLX
English
underdog
speech-to-text
asr
stt
low-bit
on-device
apple-silicon
parakeet
Model card Files Files and versions
xet
Community
2

Instructions to use ConwayResearch/Underdog-Bark-3.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ConwayResearch/Underdog-Bark-3.0 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="ConwayResearch/Underdog-Bark-3.0")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("ConwayResearch/Underdog-Bark-3.0", device_map="auto")
  • MLX

    How to use ConwayResearch/Underdog-Bark-3.0 with MLX:

    # Download the model from the Hub
    pip install huggingface_hub[hf_xet]
    
    hf download ConwayResearch/Underdog-Bark-3.0 --local-dir Underdog-Bark-3.0
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • LM Studio
  • Atomic Chat
Underdog-Bark-3.0
567 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
sigilwen's picture
sigilwen
Underdog Bark 3.0
85db2ad verified 16 days ago
  • coreml
    Underdog Bark 3.0 16 days ago
  • mlx
    Underdog Bark 3.0 16 days ago
  • runtime
    Underdog Bark 3.0 16 days ago
  • .gitattributes
    1.62 kB
    Underdog Bark 3.0 16 days ago
  • NOTICE
    603 Bytes
    Underdog Bark 3.0 16 days ago
  • README.md
    12.9 kB
    Underdog Bark 3.0 16 days ago
  • bark_frontier.png
    160 kB
    xet
    Underdog Bark 3.0 16 days ago
  • bark_loader.py
    5.82 kB
    Underdog Bark 3.0 16 days ago
  • bark_mlx.py
    5.01 kB
    Underdog Bark 3.0 16 days ago
  • model.bark
    163 MB
    xet
    Underdog Bark 3.0 16 days ago