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classla
/
bcms-bertic-ner

Token Classification
Transformers
PyTorch
Safetensors
electra
Model card Files Files and versions
xet
Community
1

Instructions to use classla/bcms-bertic-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use classla/bcms-bertic-ner with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="classla/bcms-bertic-ner")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("classla/bcms-bertic-ner")
    model = AutoModelForTokenClassification.from_pretrained("classla/bcms-bertic-ner")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
bcms-bertic-ner
881 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 24 commits
5roop's picture
5roop
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
b8393ef almost 3 years ago
  • .gitattributes
    744 Bytes
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • README.md
    2.66 kB
    Added comment on the order of labels for ST over 4 years ago
  • config.json
    1.02 kB
    New model without the person derivative class about 5 years ago
  • model.safetensors
    440 MB
    xet
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • pytorch_model.bin
    440 MB
    xet
    New model without the person derivative class about 5 years ago
  • special_tokens_map.json
    112 Bytes
    Model added about 5 years ago
  • tokenizer_config.json
    352 Bytes
    Model added about 5 years ago
  • vocab.txt
    231 kB
    Model added about 5 years ago