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neody
/
ja-bert-1

Fill-Mask
Transformers
ONNX
Safetensors
bert
Model card Files Files and versions
xet
Community

Instructions to use neody/ja-bert-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use neody/ja-bert-1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="neody/ja-bert-1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("neody/ja-bert-1")
    model = AutoModelForMaskedLM.from_pretrained("neody/ja-bert-1")
  • Notebooks
  • Google Colab
  • Kaggle
ja-bert-1
516 MB
Ctrl+K
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  • 2 contributors
History: 3 commits
googlefan's picture
googlefan
Update README.md
36a11c0 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    feat: init almost 2 years ago
  • README.md
    159 Bytes
    Update README.md almost 2 years ago
  • config.json
    588 Bytes
    feat: init almost 2 years ago
  • generation_config.json
    90 Bytes
    feat: init almost 2 years ago
  • hidden_model.onnx
    242 MB
    xet
    feat: init almost 2 years ago
  • model.safetensors
    273 MB
    xet
    feat: init almost 2 years ago
  • special_tokens_map.json
    695 Bytes
    feat: init almost 2 years ago
  • tokenizer.json
    709 kB
    feat: init almost 2 years ago
  • tokenizer_config.json
    1.18 kB
    feat: init almost 2 years ago
  • vocab.txt
    205 kB
    feat: init almost 2 years ago