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cl-nagoya
/
defsent-roberta-base-mean

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

Instructions to use cl-nagoya/defsent-roberta-base-mean with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use cl-nagoya/defsent-roberta-base-mean with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="cl-nagoya/defsent-roberta-base-mean")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("cl-nagoya/defsent-roberta-base-mean")
    model = AutoModelForMaskedLM.from_pretrained("cl-nagoya/defsent-roberta-base-mean")
  • Notebooks
  • Google Colab
  • Kaggle
defsent-roberta-base-mean
501 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
hpprc's picture
hpprc
:tada: Add pre-trained model
c202666 almost 5 years ago
  • .gitattributes
    737 Bytes
    initial commit almost 5 years ago
  • config.json
    676 Bytes
    :tada: Add pre-trained model almost 5 years ago
  • merges.txt
    456 kB
    :tada: Add pre-trained model almost 5 years ago
  • pytorch_model.bin
    499 MB
    xet
    :tada: Add pre-trained model almost 5 years ago
  • special_tokens_map.json
    239 Bytes
    :tada: Add pre-trained model almost 5 years ago
  • tokenizer.json
    1.36 MB
    :tada: Add pre-trained model almost 5 years ago
  • tokenizer_config.json
    326 Bytes
    :tada: Add pre-trained model almost 5 years ago
  • vocab.json
    798 kB
    :tada: Add pre-trained model almost 5 years ago