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valurank
/
final_headline_generator

Transformers
PyTorch
TensorBoard
pegasus
text2text-generation
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
2

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

  • Libraries
  • Transformers

    How to use valurank/final_headline_generator with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("valurank/final_headline_generator")
    model = AutoModelForSeq2SeqLM.from_pretrained("valurank/final_headline_generator")
  • Notebooks
  • Google Colab
  • Kaggle
final_headline_generator
2.29 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
abdulmatinomotoso's picture
abdulmatinomotoso
Update README.md
1ae36ac about 3 years ago
  • runs
    Training complete! almost 4 years ago
  • .gitattributes
    1.34 kB
    initial commit almost 4 years ago
  • .gitignore
    13 Bytes
    Training complete! almost 4 years ago
  • LICENSE
    2.11 kB
    Create new file over 3 years ago
  • README.md
    1.5 kB
    Update README.md about 3 years ago
  • config.json
    1.34 kB
    Training complete! almost 4 years ago
  • pytorch_model.bin
    2.28 GB
    xet
    Training complete! almost 4 years ago
  • special_tokens_map.json
    1.34 kB
    Training complete! almost 4 years ago
  • spiece.model
    1.91 MB
    xet
    Training complete! almost 4 years ago
  • tokenizer.json
    6.6 MB
    Training complete! almost 4 years ago
  • tokenizer_config.json
    1.58 kB
    Training complete! almost 4 years ago
  • training_args.bin
    3.06 kB
    xet
    Training complete! almost 4 years ago