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makitanikaze
/
P5_beauty_small

Feature Extraction
Transformers
PyTorch
English
t5
sequential-recommendation
direct-recommendation
explanation-generation
text2text-generation
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use makitanikaze/P5_beauty_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use makitanikaze/P5_beauty_small with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="makitanikaze/P5_beauty_small", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("makitanikaze/P5_beauty_small", trust_remote_code=True)
    model = AutoModel.from_pretrained("makitanikaze/P5_beauty_small", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
P5_beauty_small
1.89 kB
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  • 1 contributor
History: 35 commits
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makitanikaze
Delete config.json
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  • .gitattributes
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    initial commit over 3 years ago
  • README.md
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    Create README.md over 3 years ago