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rajaatif786
/
TickerExtraction

Feature Extraction
Transformers
bert
Model card Files Files and versions
xet
Community

Instructions to use rajaatif786/TickerExtraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rajaatif786/TickerExtraction with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="rajaatif786/TickerExtraction")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("rajaatif786/TickerExtraction")
    model = AutoModel.from_pretrained("rajaatif786/TickerExtraction")
  • Notebooks
  • Google Colab
  • Kaggle
TickerExtraction
545 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 38 commits
rajaatif786's picture
rajaatif786
Update EntityExtractor.py
60db644 almost 4 years ago
  • .gitattributes
    1.34 kB
    initial commit almost 4 years ago
  • EntityBertNet
    991 Bytes
    Create new file almost 4 years ago
  • EntityExtractor.py
    8.68 kB
    Update EntityExtractor.py almost 4 years ago
  • config.json
    564 Bytes
    Update config.json almost 4 years ago
  • entity_model2.pt
    543 MB
    xet
    Upload entity_model2.pt almost 4 years ago
  • labels.pkl
    490 kB
    xet
    Upload labels.pkl almost 4 years ago
  • labels_map.pkl
    592 kB
    xet
    Upload labels_map.pkl almost 4 years ago
  • pipeline.py
    5.98 kB
    Update pipeline.py almost 4 years ago