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RandomUs666
/
ecg-interface-study

Text Generation
MLX
Italian
ecg
electrocardiogram
lora
medical
ablation-study
Model card Files Files and versions
xet
Community

Instructions to use RandomUs666/ecg-interface-study with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use RandomUs666/ecg-interface-study 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("RandomUs666/ecg-interface-study")
    
    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 RandomUs666/ecg-interface-study with MLX LM:

    Generate or start a chat session
    # Install MLX LM
    uv tool install mlx-lm
    # Generate some text
    mlx_lm.generate --model "RandomUs666/ecg-interface-study" --prompt "Once upon a time"
  • Atomic Chat

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Preview of files found in this repository
  • measures-gemma-4-e2b
    correct num_layers: adapter coverage, not truncation about 1 month ago
  • measures-qwen35-2b-8layer
    correct num_layers: adapter coverage, not truncation about 1 month ago
  • measures-qwen35-2b-full
    correct num_layers: adapter coverage, not truncation about 1 month ago
  • prompts
    card, prompts, results about 1 month ago
  • results
    card, prompts, results about 1 month ago
  • tokens-gemma-4-e2b
    correct num_layers: adapter coverage, not truncation about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    11.2 kB
    Document gated access about 1 month ago