Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

AAU-NLP
/
BERT-SL1000

Text Classification
Transformers
Safetensors
English
bert
token-classification
financial NLP
named entity recognition
sequence labeling
structured extraction
hierarchical taxonomy
XBRL
iXBRL
SEC filings
financial-information-extraction
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use AAU-NLP/BERT-SL1000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AAU-NLP/BERT-SL1000 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="AAU-NLP/BERT-SL1000")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("AAU-NLP/BERT-SL1000")
    model = AutoModelForTokenClassification.from_pretrained("AAU-NLP/BERT-SL1000")
  • Notebooks
  • Google Colab
  • Kaggle
BERT-SL1000
440 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 12 commits
rasmus-aau's picture
rasmus-aau
nielsr's picture
nielsr HF Staff
Link model to paper and official repository (#1)
40dc10a 17 days ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    2.71 kB
    Link model to paper and official repository (#1) 17 days ago
  • config.json
    130 kB
    Upload 6 files 7 months ago
  • model.safetensors
    439 MB
    xet
    Upload 6 files 7 months ago
  • special_tokens_map.json
    125 Bytes
    Upload 6 files 7 months ago
  • tokenizer.json
    711 kB
    Upload 6 files about 1 year ago
  • tokenizer_config.json
    1.22 kB
    Upload 6 files 7 months ago
  • vocab.txt
    232 kB
    Upload 6 files about 1 year ago