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AlgorithmicResearchGroup
/
phi-physics

Summarization
Transformers
Safetensors
English
phi
text-generation
arxiv
custom_code
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use AlgorithmicResearchGroup/phi-physics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AlgorithmicResearchGroup/phi-physics 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="AlgorithmicResearchGroup/phi-physics", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("AlgorithmicResearchGroup/phi-physics", trust_remote_code=True)
    model = AutoModelForCausalLM.from_pretrained("AlgorithmicResearchGroup/phi-physics", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
phi-physics
50.4 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
matthewkenney's picture
matthewkenney
Upload model
ea2c08d over 2 years ago
  • .gitattributes
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    initial commit over 2 years ago
  • README.md
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  • adapter_config.json
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  • adapter_model.safetensors
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    xet
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