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Red-fuchs
/
ncm-modular

Text Generation
MLX
English
German
next-concept-modeling
apple-silicon
diffusion-lm
research-code
negative-results
Model card Files Files and versions
xet
Community

Instructions to use Red-fuchs/ncm-modular with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use Red-fuchs/ncm-modular with MLX:

    # Make sure mlx-lm is installed
    # pip install --upgrade mlx-lm
    # if on a CUDA device, also pip install mlx[cuda]
    
    # Generate text with mlx-lm
    from mlx_lm import load, generate
    
    model, tokenizer = load("Red-fuchs/ncm-modular")
    
    prompt = "Once upon a time in"
    text = generate(model, tokenizer, prompt=prompt, verbose=True)
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • LM Studio
  • MLX LM

    How to use Red-fuchs/ncm-modular with MLX LM:

    Generate or start a chat session
    # Install MLX LM
    uv tool install mlx-lm
    # Generate some text
    mlx_lm.generate --model "Red-fuchs/ncm-modular" --prompt "Once upon a time"
  • Atomic Chat
ncm-modular / results /codec
10.4 kB
Ctrl+K
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  • 1 contributor
History: 1 commit
Red-fuchs's picture
Red-fuchs
ncm-modular: initial release (code + results, no weights)
b5731a6 verified 1 day ago
  • parity_wmt14.txt
    1.93 kB
    ncm-modular: initial release (code + results, no weights) 1 day ago
  • parity_xsum.txt
    1.64 kB
    ncm-modular: initial release (code + results, no weights) 1 day ago
  • rt_wmt14.txt
    3.59 kB
    ncm-modular: initial release (code + results, no weights) 1 day ago
  • rt_xsum.txt
    3.22 kB
    ncm-modular: initial release (code + results, no weights) 1 day ago