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KoichiYasuoka
/
deberta-base-japanese-wikipedia

Fill-Mask
Transformers
PyTorch
Japanese
deberta-v2
japanese
masked-lm
wikipedia
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use KoichiYasuoka/deberta-base-japanese-wikipedia with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="KoichiYasuoka/deberta-base-japanese-wikipedia")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("KoichiYasuoka/deberta-base-japanese-wikipedia")
    model = AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/deberta-base-japanese-wikipedia")
  • Notebooks
  • Google Colab
  • Kaggle
deberta-base-japanese-wikipedia
503 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
KoichiYasuoka's picture
KoichiYasuoka
model improved
88feb34 over 3 years ago
  • .gitattributes
    1.17 kB
    initial commit almost 4 years ago
  • README.md
    1.21 kB
    model improved over 3 years ago
  • config.json
    822 Bytes
    model improved over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    501 MB
    xet
    model improved over 3 years ago
  • special_tokens_map.json
    173 Bytes
    model improved over 3 years ago
  • spm.model
    1 Bytes
    xet
    initial release almost 4 years ago
  • tokenizer.json
    2.05 MB
    initial release almost 4 years ago
  • tokenizer_config.json
    323 Bytes
    model improved over 3 years ago