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alexandrainst
/
da-ner-base

Token Classification
Transformers
PyTorch
google-tensorflow TensorFlow
Danish
bert
Model card Files Files and versions
xet
Community
2

Instructions to use alexandrainst/da-ner-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use alexandrainst/da-ner-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="alexandrainst/da-ner-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("alexandrainst/da-ner-base")
    model = AutoModelForTokenClassification.from_pretrained("alexandrainst/da-ner-base")
  • Notebooks
  • Google Colab
  • Kaggle
da-ner-base
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  • 2 contributors
History: 7 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
6c13fc1 verified over 1 year ago
  • .gitattributes
    1.23 kB
    Adding `safetensors` variant of this model over 1 year ago
  • README.md
    926 Bytes
    Update README.md over 2 years ago
  • added_tokens.json
    2 Bytes
    initial commit over 4 years ago
  • config.json
    1.06 kB
    initial commit over 4 years ago
  • model.safetensors
    440 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • pytorch_model.bin
    440 MB
    xet
    initial commit over 4 years ago
  • special_tokens_map.json
    112 Bytes
    initial commit over 4 years ago
  • tf_model.h5
    443 MB
    xet
    initial commit over 4 years ago
  • tokenizer_config.json
    42 Bytes
    initial commit over 4 years ago
  • vocab.txt
    253 kB
    initial commit over 4 years ago