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oeg
/
BioNER-es

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

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

  • Libraries
  • Transformers

    How to use oeg/BioNER-es with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="oeg/BioNER-es")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("oeg/BioNER-es")
    model = AutoModelForTokenClassification.from_pretrained("oeg/BioNER-es")
  • Notebooks
  • Google Colab
  • Kaggle
BioNER-es
996 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
b155a4a almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    896 Bytes
    Retrained the model with improved tokenization. Now it detects compound words. over 3 years ago
  • merges.txt
    521 kB
    Retrained the model with improved tokenization. Now it detects compound words. over 3 years ago
  • model.safetensors
    496 MB
    xet
    Adding `safetensors` variant of this model almost 3 years ago
  • pytorch_model.bin
    496 MB
    xet
    Retrained the model with improved tokenization. Now it detects compound words. over 3 years ago
  • special_tokens_map.json
    957 Bytes
    Retrained the model with improved tokenization. Now it detects compound words. over 3 years ago
  • tokenizer.json
    2.24 MB
    Retrained the model with improved tokenization. Now it detects compound words. over 3 years ago
  • tokenizer_config.json
    1.43 kB
    Retrained the model with improved tokenization. Now it detects compound words. over 3 years ago
  • training_args.bin
    3.38 kB
    xet
    Retrained the model with improved tokenization. Now it detects compound words. over 3 years ago
  • vocab.json
    863 kB
    Retrained the model with improved tokenization. Now it detects compound words. over 3 years ago