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CNCL-Penn-State
/
llama3_8b_dp_effectiveness

Text Classification
Transformers
Safetensors
llama
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use CNCL-Penn-State/llama3_8b_dp_effectiveness with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use CNCL-Penn-State/llama3_8b_dp_effectiveness with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="CNCL-Penn-State/llama3_8b_dp_effectiveness")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("CNCL-Penn-State/llama3_8b_dp_effectiveness")
    model = AutoModelForSequenceClassification.from_pretrained("CNCL-Penn-State/llama3_8b_dp_effectiveness")
  • Notebooks
  • Google Colab
  • Kaggle
llama3_8b_dp_effectiveness
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  • 2 contributors
History: 11 commits
jpronchick's picture
jpronchick
updates handler
cbddb88 verified about 1 year ago
  • .gitattributes
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  • README.md
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  • config.json
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  • handler.py
    2.46 kB
    updates handler about 1 year ago
  • model-00001-of-00007.safetensors
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  • model-00007-of-00007.safetensors
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  • model.safetensors.index.json
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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