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ethanyt
/
guwenbert-base

Fill-Mask
Transformers
PyTorch
JAX
Chinese
roberta
chinese
classical chinese
literary chinese
ancient chinese
bert
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use ethanyt/guwenbert-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="ethanyt/guwenbert-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("ethanyt/guwenbert-base")
    model = AutoModelForMaskedLM.from_pretrained("ethanyt/guwenbert-base")
  • Notebooks
  • Google Colab
  • Kaggle
guwenbert-base
1.25 GB
Ctrl+K
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  • 4 contributors
History: 15 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
8ea8c7e about 3 years ago
  • .gitattributes
    445 Bytes
    Adding `safetensors` variant of this model about 3 years ago
  • README.md
    3.05 kB
    Specify mask_token in model card metadata almost 5 years ago
  • config.json
    519 Bytes
    Update config.json over 5 years ago
  • flax_model.msgpack
    416 MB
    xet
    upload flax model almost 5 years ago
  • model.safetensors
    418 MB
    xet
    Adding `safetensors` variant of this model about 3 years ago
  • pytorch_model.bin
    418 MB
    xet
    Update pytorch_model.bin over 5 years ago
  • vocab.txt
    93.5 kB
    Update vocab.txt over 5 years ago