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diffusion-reasoning
/
LLaDA-8B-Instruct-wd1-acecode-iter180

Feature Extraction
Transformers
Safetensors
llada
custom_code
Model card Files Files and versions
xet
Community

Instructions to use diffusion-reasoning/LLaDA-8B-Instruct-wd1-acecode-iter180 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use diffusion-reasoning/LLaDA-8B-Instruct-wd1-acecode-iter180 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="diffusion-reasoning/LLaDA-8B-Instruct-wd1-acecode-iter180", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("diffusion-reasoning/LLaDA-8B-Instruct-wd1-acecode-iter180", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
LLaDA-8B-Instruct-wd1-acecode-iter180
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  • 1 contributor
History: 3 commits
timxiaohangt's picture
timxiaohangt
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  • config.json
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  • configuration_llada.py
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  • tokenizer.json
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