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olm
/
olm-roberta-base-latest

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

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

  • Libraries
  • Transformers

    How to use olm/olm-roberta-base-latest with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="olm/olm-roberta-base-latest")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("olm/olm-roberta-base-latest")
    model = AutoModelForMaskedLM.from_pretrained("olm/olm-roberta-base-latest")
  • Notebooks
  • Google Colab
  • Kaggle
olm-roberta-base-latest / logs
169 kB
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  • 1 contributor
History: 1 commit
TristanThrush
added dec olm roberta
ab8f50e over 3 years ago
  • 1672179272.9817288
    added dec olm roberta over 3 years ago
  • events.out.tfevents.1672179272.tristan-olm-training-a100-80.4584.0
    163 kB
    xet
    added dec olm roberta over 3 years ago