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CogComp
/
roberta-temporal-predictor

Fill-Mask
Transformers
PyTorch
roberta
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use CogComp/roberta-temporal-predictor with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="CogComp/roberta-temporal-predictor")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("CogComp/roberta-temporal-predictor")
    model = AutoModelForMaskedLM.from_pretrained("CogComp/roberta-temporal-predictor")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-temporal-predictor / src
2.88 kB
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  • 1 contributor
History: 1 commit
zjiayao's picture
zjiayao
Create temp_predictor.py
c316f5e about 4 years ago
  • temp_predictor.py
    2.88 kB
    Create temp_predictor.py about 4 years ago