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TuhinColumbia
/
SimileLiteral

Transformers
PyTorch
roberta
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use TuhinColumbia/SimileLiteral with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, RobertaForMultipleChoiceWithInferences
    
    tokenizer = AutoTokenizer.from_pretrained("TuhinColumbia/SimileLiteral")
    model = RobertaForMultipleChoiceWithInferences.from_pretrained("TuhinColumbia/SimileLiteral", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
SimileLiteral
4.27 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
TuhinColumbia's picture
TuhinColumbia
Upload optimizer.pt with git-lfs
085b1e0 almost 5 years ago
  • .gitattributes
    1.18 kB
    initial commit almost 5 years ago
  • config.json
    675 Bytes
    Upload config.json almost 5 years ago
  • merges.txt
    456 kB
    Upload merges.txt almost 5 years ago
  • optimizer.pt
    2.84 GB
    xet
    Upload optimizer.pt with git-lfs almost 5 years ago
  • pytorch_model.bin
    1.42 GB
    xet
    Upload pytorch_model.bin with git-lfs almost 5 years ago
  • scheduler.pt
    623 Bytes
    xet
    Upload scheduler.pt with git-lfs almost 5 years ago
  • trainer_state.json
    2.5 kB
    Upload trainer_state.json almost 5 years ago
  • training_args.bin
    2.42 kB
    xet
    Upload training_args.bin with git-lfs almost 5 years ago
  • vocab.json
    798 kB
    Upload vocab.json almost 5 years ago