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rendchevi
/
roberta-base-ZVPIVNO

Text Classification
Transformers
Safetensors
roberta
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use rendchevi/roberta-base-ZVPIVNO with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="rendchevi/roberta-base-ZVPIVNO")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("rendchevi/roberta-base-ZVPIVNO")
    model = AutoModelForSequenceClassification.from_pretrained("rendchevi/roberta-base-ZVPIVNO")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base-ZVPIVNO
499 MB
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  • 1 contributor
History: 2 commits
rendchevi's picture
rendchevi
Upload RobertaForSequenceClassification
d53bf5c verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload RobertaForSequenceClassification over 1 year ago
  • config.json
    697 Bytes
    Upload RobertaForSequenceClassification over 1 year ago
  • model.safetensors
    499 MB
    xet
    Upload RobertaForSequenceClassification over 1 year ago