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Amian
/
bert-base-chinese-entity

Feature Extraction
Transformers
PyTorch
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use Amian/bert-base-chinese-entity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Amian/bert-base-chinese-entity with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Amian/bert-base-chinese-entity")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Amian/bert-base-chinese-entity")
    model = AutoModel.from_pretrained("Amian/bert-base-chinese-entity")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-chinese-entity
410 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Amian's picture
Amian
add tokenizer
fe3ba6e about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • added_tokens.json
    45 Bytes
    add tokenizer about 3 years ago
  • config.json
    814 Bytes
    add model about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    409 MB
    xet
    add model about 3 years ago
  • special_tokens_map.json
    125 Bytes
    add tokenizer about 3 years ago
  • tokenizer.json
    439 kB
    add tokenizer about 3 years ago
  • tokenizer_config.json
    349 Bytes
    add tokenizer about 3 years ago
  • vocab.txt
    110 kB
    add tokenizer about 3 years ago