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rasgaard
/
hviske-v5.3-mlx-int8

Automatic Speech Recognition
MLX
Safetensors
Danish
cohere_asr
audio
speech-recognition
transcription
danish
apple-silicon
quant
custom_code
Model card Files Files and versions
xet
Community

Instructions to use rasgaard/hviske-v5.3-mlx-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use rasgaard/hviske-v5.3-mlx-int8 with MLX:

    # Download the model from the Hub
    pip install huggingface_hub[hf_xet]
    
    huggingface-cli download --local-dir hviske-v5.3-mlx-int8 rasgaard/hviske-v5.3-mlx-int8
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • LM Studio
hviske-v5.3-mlx-int8
2.42 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
rasgaard's picture
rasgaard
Upload README.md with huggingface_hub
aa4e929 verified 14 days ago
  • .gitattributes
    1.65 kB
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  • README.md
    4.2 kB
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  • config.json
    3.87 kB
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  • configuration_cohere_asr.py
    1.66 kB
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  • generation_config.json
    167 Bytes
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  • model.safetensors
    2.42 GB
    xet
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  • modeling_cohere_asr.py
    64.6 kB
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  • preprocessor_config.json
    420 Bytes
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  • processing_cohere_asr.py
    20.6 kB
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  • processor_config.json
    131 Bytes
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  • special_tokens_map.json
    4.09 kB
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  • tokenization_cohere_asr.py
    6.62 kB
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  • tokenizer.json
    1.82 MB
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  • tokenizer.model
    493 kB
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  • tokenizer_config.json
    48.1 kB
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