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PrathameshPawar
/
sci_summary

Transformers
PyTorch
encoder-decoder
text2text-generation
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use PrathameshPawar/sci_summary with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("PrathameshPawar/sci_summary")
    model = AutoModelForSeq2SeqLM.from_pretrained("PrathameshPawar/sci_summary", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
sci_summary
990 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
PrathameshPawar's picture
PrathameshPawar
Upload 3 files
f7489dd over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    4.71 kB
    Upload 3 files over 3 years ago
  • generation_config.json
    90 Bytes
    Upload 3 files over 3 years ago
  • pytorch_model.bin
    990 MB
    xet
    Upload 3 files over 3 years ago