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ilya-kolchinsky
/
PromptComplexityEstimator

Text Classification
Transformers
Safetensors
prompt-complexity
feature-extraction
regression
prompt
complexity-estimation
semantic-routing
llm-routing
custom_code
Model card Files Files and versions
xet
Community

Instructions to use ilya-kolchinsky/PromptComplexityEstimator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ilya-kolchinsky/PromptComplexityEstimator with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ilya-kolchinsky/PromptComplexityEstimator", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("ilya-kolchinsky/PromptComplexityEstimator", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
PromptComplexityEstimator
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  • 1 contributor
History: 7 commits
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ilya-kolchinsky
Update README.md
9800a1c verified 4 months ago
  • complexity_estimator
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  • .gitattributes
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  • README.md
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  • config.json
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  • model.safetensors
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    xet
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  • special_tokens_map.json
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  • spm.model
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    xet
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  • tokenizer.json
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  • tokenizer_config.json
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