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bilalzafar
/
CBDC-Type

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

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

  • Libraries
  • Transformers

    How to use bilalzafar/CBDC-Type with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="bilalzafar/CBDC-Type")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("bilalzafar/CBDC-Type")
    model = AutoModelForSequenceClassification.from_pretrained("bilalzafar/CBDC-Type")
  • Notebooks
  • Google Colab
  • Kaggle
CBDC-Type
439 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
bilalzafar's picture
bilalzafar
Update README.md
9ab626c verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 9 months ago
  • README.md
    7.44 kB
    Update README.md about 2 months ago
  • config.json
    838 Bytes
    Model file 9 months ago
  • label_mapping.json
    202 Bytes
    Model file 9 months ago
  • model.safetensors
    438 MB
    xet
    Model file 9 months ago
  • special_tokens_map.json
    695 Bytes
    Model file 9 months ago
  • test_classification_report.txt
    429 Bytes
    Model file 9 months ago
  • test_confusion_matrix.csv
    21 Bytes
    Model file 9 months ago
  • tokenizer.json
    711 kB
    Model file 9 months ago
  • tokenizer_config.json
    1.22 kB
    Model file 9 months ago
  • vocab.txt
    232 kB
    Model file 9 months ago