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XiaoEnn
/
herberta_V3_Modern

Fill-Mask
Transformers
Safetensors
Chinese
English
bert
PretrainModel
TCM
transformer
herberta
text-embedding
Model card Files Files and versions
xet
Community

Instructions to use XiaoEnn/herberta_V3_Modern with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use XiaoEnn/herberta_V3_Modern with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="XiaoEnn/herberta_V3_Modern")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("XiaoEnn/herberta_V3_Modern")
    model = AutoModelForMaskedLM.from_pretrained("XiaoEnn/herberta_V3_Modern")
  • Notebooks
  • Google Colab
  • Kaggle
herberta_V3_Modern
Ctrl+K
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  • 1 contributor
History: 5 commits
XiaoEnn's picture
XiaoEnn
Update README.md
3750776 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.71 kB
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  • config.json
    967 Bytes
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  • generation_config.json
    132 Bytes
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  • model.safetensors
    1.3 GB
    xet
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  • special_tokens_map.json
    695 Bytes
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  • tokenizer.json
    439 kB
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  • tokenizer_config.json
    1.22 kB
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  • vocab.txt
    110 kB
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