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LibraxisAI
/
whisper-medium-mlx-q8

Automatic Speech Recognition
Transformers
MLX
English
multilingual
whisper
speech-to-text
quantized
q8
apple-silicon
Model card Files Files and versions
xet
Community

Instructions to use LibraxisAI/whisper-medium-mlx-q8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use LibraxisAI/whisper-medium-mlx-q8 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="LibraxisAI/whisper-medium-mlx-q8")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("LibraxisAI/whisper-medium-mlx-q8", dtype="auto")
  • MLX

    How to use LibraxisAI/whisper-medium-mlx-q8 with MLX:

    # Download the model from the Hub
    pip install huggingface_hub[hf_xet]
    
    huggingface-cli download --local-dir whisper-medium-mlx-q8 LibraxisAI/whisper-medium-mlx-q8
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • LM Studio
whisper-medium-mlx-q8
862 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 8 commits
mszymanska's picture
mszymanska
docs: fix Limitations โ€” audio duration instead of prompt length
68eb21a verified 2 days ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    3.92 kB
    docs: fix Limitations โ€” audio duration instead of prompt length 2 days ago
  • config.json
    341 Bytes
    Upload folder using huggingface_hub 4 months ago
  • weights.safetensors
    862 MB
    xet
    Upload folder using huggingface_hub 4 months ago