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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 / onnx
432 MB
Ctrl+K
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  • 7 contributors
History: 1 commit
dslim's picture
dslim
Adding ONNX file of this model (#15)
0f1d866 verified over 2 years ago
  • added_tokens.json
    82 Bytes
    Adding ONNX file of this model (#15) over 2 years ago
  • config.json
    999 Bytes
    Adding ONNX file of this model (#15) over 2 years ago
  • model.onnx
    431 MB
    xet
    Adding ONNX file of this model (#15) over 2 years ago
  • special_tokens_map.json
    125 Bytes
    Adding ONNX file of this model (#15) over 2 years ago
  • tokenizer.json
    669 kB
    Adding ONNX file of this model (#15) over 2 years ago
  • tokenizer_config.json
    1.3 kB
    Adding ONNX file of this model (#15) over 2 years ago
  • vocab.txt
    213 kB
    Adding ONNX file of this model (#15) over 2 years ago