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jgammack
/
MTL-roberta-base

Fill-Mask
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use jgammack/MTL-roberta-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="jgammack/MTL-roberta-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("jgammack/MTL-roberta-base")
    model = AutoModelForMaskedLM.from_pretrained("jgammack/MTL-roberta-base", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MTL-roberta-base / runs
50.9 kB
Ctrl+K
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  • 1 contributor
History: 4 commits
jgammack's picture
jgammack
MTL-roberta-base
2672b0f over 4 years ago
  • Feb07_19-11-40_852255e804d9
    Training in progress, epoch 1 over 4 years ago
  • Feb07_19-12-09_852255e804d9
    MTL-roberta-base over 4 years ago
  • Feb07_22-18-34_b59467093495
    MTL-roberta-base over 4 years ago