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princeton-nlp
/
efficient_mlm_m0.50

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

Instructions to use princeton-nlp/efficient_mlm_m0.50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use princeton-nlp/efficient_mlm_m0.50 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="princeton-nlp/efficient_mlm_m0.50")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/efficient_mlm_m0.50")
    model = AutoModelForMaskedLM.from_pretrained("princeton-nlp/efficient_mlm_m0.50")
  • Notebooks
  • Google Colab
  • Kaggle
efficient_mlm_m0.50
1.43 GB
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  • 2 contributors
History: 3 commits
princeton-nlp's picture
princeton-nlp
Create README.md
0f356f1 about 4 years ago
  • .gitattributes
    1.17 kB
    initial commit about 4 years ago
  • README.md
    589 Bytes
    Create README.md about 4 years ago
  • config.json
    638 Bytes
    upload about 4 years ago
  • merges.txt
    456 kB
    upload about 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    1.42 GB
    xet
    upload about 4 years ago
  • special_tokens_map.json
    239 Bytes
    upload about 4 years ago
  • tokenizer.json
    2.11 MB
    upload about 4 years ago
  • tokenizer_config.json
    350 Bytes
    upload about 4 years ago
  • vocab.json
    798 kB
    upload about 4 years ago