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xshubhamx
/
roberta-base

Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use xshubhamx/roberta-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="xshubhamx/roberta-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("xshubhamx/roberta-base")
    model = AutoModelForSequenceClassification.from_pretrained("xshubhamx/roberta-base", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base / runs
95.7 kB
Ctrl+K
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  • 1 contributor
History: 48 commits
xshubhamx's picture
xshubhamx
End of training
47b9b5a verified over 2 years ago
  • Apr11_22-37-20_51e2d22980cd
    End of training over 2 years ago
  • Apr13_22-36-59_8b05f59ca40c
    End of training over 2 years ago
  • Apr14_03-57-02_3e1d3a604afe
    End of training over 2 years ago
  • Apr14_10-22-53_7bae82195dff
    Training in progress, epoch 1 over 2 years ago
  • Apr14_10-34-40_f1158920fb24
    End of training over 2 years ago