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j961224
/
News_summarization

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

Instructions to use j961224/News_summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use j961224/News_summarization with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("j961224/News_summarization")
    model = AutoModelForSeq2SeqLM.from_pretrained("j961224/News_summarization", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
News_summarization
1.44 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
3b081fe verified over 1 year ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    5.3 kB
    Upload: Summarization Model over 3 years ago
  • model.safetensors
    718 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • pytorch_model.bin
    718 MB
    xet
    Upload: Summarization Model over 3 years ago
  • special_tokens_map.json
    170 Bytes
    Upload: Summarization Model over 3 years ago
  • tokenizer.json
    753 kB
    Upload: Summarization Model over 3 years ago
  • tokenizer_config.json
    635 Bytes
    Upload: Summarization Model over 3 years ago
  • training_args.bin
    5.87 kB
    xet
    Upload: Summarization Model over 3 years ago
  • vocab.txt
    241 kB
    Upload: Summarization Model over 3 years ago