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gszabo
/
large_subtoken20

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

Instructions to use gszabo/large_subtoken20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use gszabo/large_subtoken20 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="gszabo/large_subtoken20")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("gszabo/large_subtoken20")
    model = AutoModelForMaskedLM.from_pretrained("gszabo/large_subtoken20")
  • Notebooks
  • Google Colab
  • Kaggle
large_subtoken20
1.3 GB
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  • 1 contributor
History: 5 commits
gszabo's picture
gszabo
Update config.json
29d61b3 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    708 Bytes
    Update config.json over 3 years ago
  • pytorch_model.bin
    1.3 GB
    xet
    Upload XLMRobertaForMaskedLM over 3 years ago
  • special_tokens_map.json
    167 Bytes
    Upload tokenizer over 3 years ago
  • tokenizer.json
    1.56 MB
    Upload tokenizer over 3 years ago
  • tokenizer_config.json
    78 Bytes
    Upload tokenizer over 3 years ago