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kouohhashi
/
roberta_ja

Feature Extraction
Transformers
PyTorch
JAX
roberta
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use kouohhashi/roberta_ja with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="kouohhashi/roberta_ja")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("kouohhashi/roberta_ja")
    model = AutoModel.from_pretrained("kouohhashi/roberta_ja")
  • Notebooks
  • Google Colab
  • Kaggle
roberta_ja
546 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 6 commits
patrickvonplaten's picture
patrickvonplaten
upload flax model
977f188 about 5 years ago
  • .gitattributes
    391 Bytes
    allow flax about 5 years ago
  • README.md
    6 Bytes
    first commit over 5 years ago
  • config.json
    546 Bytes
    2nd commit over 5 years ago
  • flax_model.msgpack
    272 MB
    xet
    upload flax model about 5 years ago
  • merges.txt
    547 kB
    First version of the your-model-name model and tokenizer. over 5 years ago
  • pytorch_model.bin
    272 MB
    xet
    2nd commit over 5 years ago
  • special_tokens_map.json
    772 Bytes
    First version of the your-model-name model and tokenizer. over 5 years ago
  • tokenizer_config.json
    62 Bytes
    First version of the your-model-name model and tokenizer. over 5 years ago
  • vocab.json
    824 kB
    First version of the your-model-name model and tokenizer. over 5 years ago