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bilalzafar
/
CBDC-Stance

Text Classification
Transformers
Safetensors
English
bert
CBDC
Central Bank Digital Currencies
Central Bank Digital Currency
Central Bank
Stance Classification
Finance
NLP
Finance NLP
BERT
Transformers
Digital Currency
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use bilalzafar/CBDC-Stance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use bilalzafar/CBDC-Stance with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="bilalzafar/CBDC-Stance")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("bilalzafar/CBDC-Stance")
    model = AutoModelForSequenceClassification.from_pretrained("bilalzafar/CBDC-Stance", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
CBDC-Stance
439 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 24 commits
bilalzafar's picture
bilalzafar
Update README.md
854e887 verified 7 months ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    7.36 kB
    Update README.md 7 months ago
  • config.json
    808 Bytes
    Model files about 1 year ago
  • label_mapping.json
    172 Bytes
    Model files about 1 year ago
  • model.safetensors
    438 MB
    xet
    Model files about 1 year ago
  • special_tokens_map.json
    695 Bytes
    Model files about 1 year ago
  • tokenizer.json
    711 kB
    Model files about 1 year ago
  • tokenizer_config.json
    1.22 kB
    Model files about 1 year ago
  • training_args.bin
    5.37 kB
    xet
    Model files about 1 year ago
  • vocab.txt
    232 kB
    Model files about 1 year ago