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DanMaks11
/
Trained-for-NER-model

Token Classification
Transformers
Safetensors
bert
Model card Files Files and versions
xet
Community

Instructions to use DanMaks11/Trained-for-NER-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DanMaks11/Trained-for-NER-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="DanMaks11/Trained-for-NER-model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("DanMaks11/Trained-for-NER-model")
    model = AutoModelForTokenClassification.from_pretrained("DanMaks11/Trained-for-NER-model")
  • Notebooks
  • Google Colab
  • Kaggle
Trained-for-NER-model
134 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
DanMaks11's picture
DanMaks11
Upload tokenizer
a4c1e7a verified 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    5.17 kB
    Upload BertForTokenClassification 7 months ago
  • config.json
    942 Bytes
    Upload BertForTokenClassification 7 months ago
  • model.safetensors
    133 MB
    xet
    Upload BertForTokenClassification 7 months ago
  • special_tokens_map.json
    695 Bytes
    Upload tokenizer 7 months ago
  • tokenizer.json
    711 kB
    Upload tokenizer 7 months ago
  • tokenizer_config.json
    1.38 kB
    Upload tokenizer 7 months ago
  • vocab.txt
    232 kB
    Upload tokenizer 7 months ago