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SCS
/
Fine-tuned-JCSD

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

Instructions to use SCS/Fine-tuned-JCSD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SCS/Fine-tuned-JCSD with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("SCS/Fine-tuned-JCSD")
    model = AutoModelForSeq2SeqLM.from_pretrained("SCS/Fine-tuned-JCSD")
  • Notebooks
  • Google Colab
  • Kaggle
Fine-tuned-JCSD
1.63 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
unknown
1
ad34266 almost 5 years ago
  • .gitattributes
    737 Bytes
    initial commit almost 5 years ago
  • config.json
    1.68 kB
    1 almost 5 years ago
  • eval_results.txt
    59 Bytes
    1 almost 5 years ago
  • merges.txt
    560 kB
    1 almost 5 years ago
  • model_args.json
    2.77 kB
    1 almost 5 years ago
  • pytorch_model.bin
    1.62 GB
    xet
    1 almost 5 years ago
  • training_args.bin

    Detected Pickle imports (1)

    • "simpletransformers.config.model_args.Seq2SeqArgs"

    How to fix it?

    3.31 kB
    xet
    1 almost 5 years ago
  • vocab.json
    1,000 kB
    1 almost 5 years ago