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spyysalo
/
example-turku-ner-model

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

Instructions to use spyysalo/example-turku-ner-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use spyysalo/example-turku-ner-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="spyysalo/example-turku-ner-model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("spyysalo/example-turku-ner-model")
    model = AutoModelForTokenClassification.from_pretrained("spyysalo/example-turku-ner-model")
  • Notebooks
  • Google Colab
  • Kaggle
example-turku-ner-model
497 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
spyysalo's picture
spyysalo
Upload tokenizer
12aa84a about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    202 Bytes
    Create README.md about 3 years ago
  • config.json
    1.15 kB
    Upload BertForTokenClassification about 3 years ago
  • pytorch_model.bin
    496 MB
    xet
    Upload BertForTokenClassification about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 3 years ago
  • tokenizer.json
    1.22 MB
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    367 Bytes
    Upload tokenizer about 3 years ago
  • vocab.txt
    424 kB
    Upload tokenizer about 3 years ago