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dsksd
/
roberta-base-dream

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

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

  • Libraries
  • Transformers

    How to use dsksd/roberta-base-dream with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="dsksd/roberta-base-dream")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("dsksd/roberta-base-dream")
    model = AutoModelForMaskedLM.from_pretrained("dsksd/roberta-base-dream")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base-dream
500 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
dsksd's picture
dsksd
update model
a8c0c48 almost 5 years ago
  • .gitattributes
    690 Bytes
    initial commit almost 5 years ago
  • config.json
    1.35 kB
    update model almost 5 years ago
  • merges.txt
    456 kB
    update model almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    499 MB
    xet
    update model almost 5 years ago
  • vocab.json
    899 kB
    update model almost 5 years ago