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rinna
/
japanese-roberta-base

Fill-Mask
Transformers
PyTorch
google-tensorflow TensorFlow
Safetensors
Japanese
roberta
masked-lm
nlp
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use rinna/japanese-roberta-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="rinna/japanese-roberta-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("rinna/japanese-roberta-base")
    model = AutoModelForMaskedLM.from_pretrained("rinna/japanese-roberta-base")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
japanese-roberta-base
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  • 3 contributors
History: 26 commits
keisawada's picture
keisawada
Update README.md
f93982a verified about 1 year ago
  • .gitattributes
    744 Bytes
    Adding `safetensors` variant of this model (#2) about 3 years ago
  • README.md
    5.49 kB
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  • config.json
    663 Bytes
    update readme over 4 years ago
  • model.safetensors
    443 MB
    xet
    Adding `safetensors` variant of this model (#2) about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    443 MB
    xet
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  • rinna.png
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    rinna.png almost 5 years ago
  • special_tokens_map.json
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  • spiece.model
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    xet
    init commit almost 5 years ago
  • tf_model.h5
    543 MB
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    init commit almost 5 years ago
  • tokenizer_config.json
    259 Bytes
    Update tokenizer_config.json over 4 years ago