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OliverSundaram
/
MoE-Study-Applied

Summarization
Transformers
Safetensors
English
custom_llm
text-generation
mixture-of-experts
Mixture of Experts
causal-lm
sft
custom_code
Model card Files Files and versions
xet
Community

Instructions to use OliverSundaram/MoE-Study-Applied with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use OliverSundaram/MoE-Study-Applied with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "summarization" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # pip install "transformers<5.0.0"
    from transformers import pipeline
    
    pipe = pipeline("summarization", model="OliverSundaram/MoE-Study-Applied", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModelForCausalLM
    model = AutoModelForCausalLM.from_pretrained("OliverSundaram/MoE-Study-Applied", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MoE-Study-Applied / assets
251 kB
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  • 1 contributor
History: 1 commit
OliverSundaram's picture
OliverSundaram
Add SFT checkpoint, model card and eval charts
3949c4b verified about 2 months ago
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  • speed.png
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  • wikitext_eval.png
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    Add SFT checkpoint, model card and eval charts about 2 months ago
  • winogrande_eval.png
    29.4 kB
    Add SFT checkpoint, model card and eval charts about 2 months ago