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seamew
/
THUCNewsTitle_bert

Fill-Mask
Transformers
google-tensorflow TensorFlow
bert
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use seamew/THUCNewsTitle_bert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="seamew/THUCNewsTitle_bert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("seamew/THUCNewsTitle_bert")
    model = AutoModelForMaskedLM.from_pretrained("seamew/THUCNewsTitle_bert")
  • Notebooks
  • Google Colab
  • Kaggle
THUCNewsTitle_bert
409 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
seamew's picture
seamew
init
0a8df88 over 4 years ago
  • .gitattributes
    737 Bytes
    initial commit over 4 years ago
  • config.json
    1.12 kB
    init over 4 years ago
  • special_tokens_map.json
    112 Bytes
    init over 4 years ago
  • tf_model.h5
    409 MB
    xet
    init over 4 years ago
  • tokenizer_config.json
    286 Bytes
    init over 4 years ago
  • vocab.txt
    110 kB
    init over 4 years ago