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KoichiYasuoka
/
deberta-base-ainu

Fill-Mask
Transformers
PyTorch
Ainu (Japan)
deberta-v2
ainu
masked-lm
Model card Files Files and versions
xet
Community
2

Instructions to use KoichiYasuoka/deberta-base-ainu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use KoichiYasuoka/deberta-base-ainu with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="KoichiYasuoka/deberta-base-ainu")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("KoichiYasuoka/deberta-base-ainu")
    model = AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/deberta-base-ainu")
  • Notebooks
  • Google Colab
  • Kaggle
deberta-base-ainu
424 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 14 commits
KoichiYasuoka's picture
KoichiYasuoka
References
d2e9304 10 days ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    1.05 kB
    References 10 days ago
  • config.json
    821 Bytes
    model improved over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    424 MB
    xet
    model improved over 3 years ago
  • special_tokens_map.json
    173 Bytes
    initial release over 3 years ago
  • spm.model
    1 Bytes
    xet
    initial release over 3 years ago
  • tokenizer.json
    447 kB
    model improved over 3 years ago
  • tokenizer_config.json
    323 Bytes
    initial release over 3 years ago