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dslim
/
bert-base-NER

Token Classification
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
ONNX
Safetensors
English
bert
Eval Results (legacy)
Model card Files Files and versions
xet
Community
24

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

  • Libraries
  • Transformers

    How to use dslim/bert-base-NER with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="dslim/bert-base-NER")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("dslim/bert-base-NER")
    model = AutoModelForTokenClassification.from_pretrained("dslim/bert-base-NER")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-NER
1.3 GB
Ctrl+K
Ctrl+K
  • 7 contributors
History: 19 commits
Aamer's picture
Aamer
Update tokenizer_config.json
0c91edf almost 4 years ago
  • .gitattributes
    391 Bytes
    allow flax almost 5 years ago
  • README.md
    4.81 kB
    Update README.md over 4 years ago
  • added_tokens.json
    2 Bytes
    Update added_tokens.json about 6 years ago
  • config.json
    829 Bytes
    Update config.json about 6 years ago
  • flax_model.msgpack
    431 MB
    xet
    upload flax model almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    433 MB
    xet
    Update pytorch_model.bin about 6 years ago
  • special_tokens_map.json
    112 Bytes
    Update special_tokens_map.json about 6 years ago
  • tf_model.h5
    434 MB
    xet
    Update tf_model.h5 over 5 years ago
  • tokenizer_config.json
    87 Bytes
    Update tokenizer_config.json almost 4 years ago
  • vocab.txt
    213 kB
    Update vocab.txt about 6 years ago