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AAU-NLP
/
Lite-BERT-SL

Token Classification
Transformers
Safetensors
English
bert
financial-nlp
named-entity-recognition
sequence-labeling
finance
Model card Files Files and versions
xet
Community
1

Instructions to use AAU-NLP/Lite-BERT-SL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AAU-NLP/Lite-BERT-SL with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="AAU-NLP/Lite-BERT-SL")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("AAU-NLP/Lite-BERT-SL")
    model = AutoModelForTokenClassification.from_pretrained("AAU-NLP/Lite-BERT-SL")
  • Notebooks
  • Google Colab
  • Kaggle
Lite-BERT-SL
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  • 2 contributors
History: 5 commits
rasmus-aau's picture
rasmus-aau
nielsr's picture
nielsr HF Staff
Add paper information and improve model card (#1)
6956428 17 days ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    2.76 kB
    Add paper information and improve model card (#1) 17 days ago
  • config.json
    979 Bytes
    Upload 6 files about 1 year ago
  • model.safetensors
    436 MB
    xet
    Upload 6 files about 1 year ago
  • special_tokens_map.json
    125 Bytes
    Upload 6 files about 1 year ago
  • tokenizer.json
    711 kB
    Upload 6 files about 1 year ago
  • tokenizer_config.json
    1.22 kB
    Upload 6 files about 1 year ago
  • vocab.txt
    232 kB
    Upload 6 files about 1 year ago