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basyauma-tech
/
Haas-ja-v1.0-mlx

Automatic Speech Recognition
MLX
Safetensors
Japanese
apple-silicon
japanese
speech-recognition
asr
parakeet
tdt
fastconformer
Model card Files Files and versions
xet
Community

Instructions to use basyauma-tech/Haas-ja-v1.0-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use basyauma-tech/Haas-ja-v1.0-mlx with MLX:

    # Download the model from the Hub
    pip install huggingface_hub[hf_xet]
    
    hf download basyauma-tech/Haas-ja-v1.0-mlx --local-dir Haas-ja-v1.0-mlx
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • LM Studio
  • Atomic Chat
Haas-ja-v1.0-mlx
1.23 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
notchman's picture
notchman
Model card: 8-bit variant is now published
f89b687 verified 42 minutes ago
  • .gitattributes
    1.52 kB
    initial commit about 7 hours ago
  • LICENSE
    11.4 kB
    Add unofficial MLX conversion of third-intelligence/Haas-ja-v1.0 about 7 hours ago
  • NOTICE
    741 Bytes
    Update copyright holder name after organisation rename about 5 hours ago
  • README.md
    19.1 kB
    Model card: 8-bit variant is now published 42 minutes ago
  • config.json
    640 Bytes
    Add unofficial MLX conversion of third-intelligence/Haas-ja-v1.0 about 7 hours ago
  • model.safetensors
    1.23 GB
    xet
    Add unofficial MLX conversion of third-intelligence/Haas-ja-v1.0 about 7 hours ago
  • tokenizer.model
    280 kB
    xet
    Add unofficial MLX conversion of third-intelligence/Haas-ja-v1.0 about 7 hours ago