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tr3cks
/
bert-ner-es

Token Classification
Transformers
PyTorch
JAX
bert
Model card Files Files and versions
xet
Community
1

Instructions to use tr3cks/bert-ner-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tr3cks/bert-ner-es with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="tr3cks/bert-ner-es")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("tr3cks/bert-ner-es")
    model = AutoModelForTokenClassification.from_pretrained("tr3cks/bert-ner-es")
  • Notebooks
  • Google Colab
  • Kaggle
bert-ner-es
Ctrl+K
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  • 1 contributor
History: 8 commits
patrickvonplaten's picture
patrickvonplaten
upload flax model
0c77067 almost 5 years ago
  • .gitattributes
    391 Bytes
    allow flax almost 5 years ago
  • config.json
    927 Bytes
    Update config.json over 5 years ago
  • flax_model.msgpack
    437 MB
    xet
    upload flax model almost 5 years ago
  • pytorch_model.bin
    440 MB
    xet
    Update pytorch_model.bin over 5 years ago
  • special_tokens_map.json
    112 Bytes
    Update special_tokens_map.json over 5 years ago
  • tokenizer_config.json
    258 Bytes
    Update tokenizer_config.json over 5 years ago
  • vocab.txt
    273 kB
    Update vocab.txt over 5 years ago