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cbdb
/
MetaDis

Transformers
PyTorch
Chinese
bert
next-sentence-prediction
SequenceClassification
MetaDis
古文
文言文
ancient
classical
Biography
古代人物传记
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use cbdb/MetaDis with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForNextSentencePrediction
    
    tokenizer = AutoTokenizer.from_pretrained("cbdb/MetaDis")
    model = AutoModelForNextSentencePrediction.from_pretrained("cbdb/MetaDis")
  • Notebooks
  • Google Colab
  • Kaggle
MetaDis
409 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
cbdb's picture
cbdb
remove repeated title
7d53d1b almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    4.77 kB
    remove repeated title almost 3 years ago
  • config.json
    834 Bytes
    Upload BertForNextSentencePrediction almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    409 MB
    xet
    Upload BertForNextSentencePrediction almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer almost 3 years ago
  • template.xlsx
    6.83 kB
    Update template excel file almost 3 years ago
  • tokenizer_config.json
    367 Bytes
    Upload tokenizer almost 3 years ago
  • vocab.txt
    110 kB
    Upload tokenizer almost 3 years ago