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Tron21
/
roberta-base

Text Classification
Transformers
PyTorch
English
roberta
emoberta
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Tron21/roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Tron21/roberta-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Tron21/roberta-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Tron21/roberta-base")
    model = AutoModelForSequenceClassification.from_pretrained("Tron21/roberta-base")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base
2.12 MB
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  • 1 contributor
History: 4 commits
Tron21's picture
Tron21
Upload 7 files
8e525e5 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • README.md
    6.03 kB
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  • config.json
    1.02 kB
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  • pytorch_model.bin
    134 Bytes
    xet
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  • tokenizer.json
    2.11 MB
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  • tokenizer_config.json
    407 Bytes
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  • trainer_state.json
    3.25 kB
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  • val-results.json
    289 Bytes
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