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joheras
/
Mapi

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

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

  • Libraries
  • Transformers

    How to use joheras/Mapi with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="joheras/Mapi")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("joheras/Mapi")
    model = AutoModelForMaskedLM.from_pretrained("joheras/Mapi", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Mapi
177 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
joheras's picture
joheras
Mapi model
9010147 about 5 years ago
  • .gitattributes
    690 Bytes
    initial commit about 5 years ago
  • config.json
    616 Bytes
    Mapi model about 5 years ago
  • merges.txt
    5.09 kB
    Mapi model about 5 years ago
  • pytorch_model.bin
    177 MB
    xet
    Mapi model about 5 years ago
  • training_args.bin
    2.48 kB
    xet
    Mapi model about 5 years ago
  • vocab.json
    10.9 kB
    Mapi model about 5 years ago