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ckiplab
/
bert-tiny-chinese-pos

Token Classification
Transformers
PyTorch
Chinese
bert
Model card Files Files and versions
xet
Community
1

Instructions to use ckiplab/bert-tiny-chinese-pos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ckiplab/bert-tiny-chinese-pos with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="ckiplab/bert-tiny-chinese-pos")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ckiplab/bert-tiny-chinese-pos")
    model = AutoModelForTokenClassification.from_pretrained("ckiplab/bert-tiny-chinese-pos")
  • Notebooks
  • Google Colab
  • Kaggle
bert-tiny-chinese-pos
46 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
emfomy's picture
emfomy
Update model card.
5459b86 about 4 years ago
  • .gitattributes
    1.17 kB
    initial commit about 4 years ago
  • README.md
    1.26 kB
    Update model card. about 4 years ago
  • config.json
    2.92 kB
    Upload model files. about 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    45.9 MB
    xet
    Upload model files. about 4 years ago
  • special_tokens_map.json
    112 Bytes
    Upload model files. about 4 years ago
  • tokenizer_config.json
    301 Bytes
    Upload model files. about 4 years ago
  • vocab.txt
    110 kB
    Upload model files. about 4 years ago