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andaqu
/
roBERTa-pers

Transformers
PyTorch
roberta
Model card Files Files and versions
xet
Community

Instructions to use andaqu/roBERTa-pers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use andaqu/roBERTa-pers with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, RobertaForMultiLabelSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("andaqu/roBERTa-pers")
    model = RobertaForMultiLabelSequenceClassification.from_pretrained("andaqu/roBERTa-pers")
  • Notebooks
  • Google Colab
  • Kaggle
roBERTa-pers
1.5 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
wendru18
init
f670ec2 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    866 Bytes
    init about 3 years ago
  • merges.txt
    456 kB
    init about 3 years ago
  • model_args.json
    2.44 kB
    init about 3 years ago
  • optimizer.pt
    997 MB
    xet
    init about 3 years ago
  • pytorch_model.bin
    501 MB
    xet
    init about 3 years ago
  • scheduler.pt

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    627 Bytes
    xet
    init about 3 years ago
  • special_tokens_map.json
    957 Bytes
    init about 3 years ago
  • tokenizer_config.json
    1.33 kB
    init about 3 years ago
  • training_args.bin
    3.07 kB
    xet
    init about 3 years ago
  • vocab.json
    999 kB
    init about 3 years ago