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dslim
/
bert-large-NER

Token Classification
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
ONNX
Safetensors
English
bert
Eval Results (legacy)
Model card Files Files and versions
xet
Community
9

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

  • Libraries
  • Transformers

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="dslim/bert-large-NER")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("dslim/bert-large-NER")
    model = AutoModelForTokenClassification.from_pretrained("dslim/bert-large-NER")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
bert-large-NER / coreml /token-classification /float32_model.mlpackage
1.33 GB
Ctrl+K
Ctrl+K
  • 7 contributors
History: 1 commit
claudioccavalli's picture
claudioccavalli
Add Core ML conversion
159177a over 2 years ago
  • Data
    Add Core ML conversion over 2 years ago
  • Manifest.json
    617 Bytes
    Add Core ML conversion over 2 years ago