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Marvis-AI
/
marvis-tts-100m-v0.2-MLX-6bit

Text-to-Audio
Transformers
Safetensors
MLX
English
French
German
csm
mlx-audio
6-bit
Model card Files Files and versions
xet
Community

Instructions to use Marvis-AI/marvis-tts-100m-v0.2-MLX-6bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Marvis-AI/marvis-tts-100m-v0.2-MLX-6bit with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-audio", model="Marvis-AI/marvis-tts-100m-v0.2-MLX-6bit")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForTextToWaveform
    
    processor = AutoProcessor.from_pretrained("Marvis-AI/marvis-tts-100m-v0.2-MLX-6bit")
    model = AutoModelForTextToWaveform.from_pretrained("Marvis-AI/marvis-tts-100m-v0.2-MLX-6bit", device_map="auto")
  • MLX

    How to use Marvis-AI/marvis-tts-100m-v0.2-MLX-6bit with MLX:

    # Download the model from the Hub
    pip install huggingface_hub[hf_xet]
    
    huggingface-cli download --local-dir marvis-tts-100m-v0.2-MLX-6bit Marvis-AI/marvis-tts-100m-v0.2-MLX-6bit
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • LM Studio
  • Atomic Chat
marvis-tts-100m-v0.2-MLX-6bit
382 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
prince-canuma's picture
prince-canuma
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78500d8 verified 11 months ago
  • prompts
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  • .gitattributes
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  • README.md
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  • config.json
    9 kB
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  • generation_config.json
    293 Bytes
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  • model.safetensors
    377 MB
    xet
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  • model.safetensors.index.json
    22.7 kB
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  • special_tokens_map.json
    599 Bytes
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  • tokenizer.json
    3.52 MB
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  • tokenizer_config.json
    3.68 kB
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  • vocab.json
    801 kB
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