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Yunij
/
RobertaModel

Text Classification
Transformers
PyTorch
TensorBoard
roberta
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use Yunij/RobertaModel with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Yunij/RobertaModel")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Yunij/RobertaModel")
    model = AutoModelForSequenceClassification.from_pretrained("Yunij/RobertaModel")
  • Notebooks
  • Google Colab
  • Kaggle
RobertaModel
500 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
Yunij's picture
Yunij
Training in progress, step 700
3bd0180 almost 3 years ago
  • runs
    Training in progress, step 700 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 100 almost 3 years ago
  • config.json
    735 Bytes
    Training in progress, step 100 almost 3 years ago
  • merges.txt
    456 kB
    Training in progress, step 100 almost 3 years ago
  • pytorch_model.bin
    499 MB
    xet
    Training in progress, step 700 almost 3 years ago
  • special_tokens_map.json
    957 Bytes
    Training in progress, step 100 almost 3 years ago
  • tokenizer_config.json
    1.31 kB
    Training in progress, step 100 almost 3 years ago
  • training_args.bin
    3.96 kB
    xet
    Training in progress, step 100 almost 3 years ago
  • vocab.json
    999 kB
    Training in progress, step 100 almost 3 years ago