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openchs
/
qa-helpline-distilbert-v1

Text Classification
Transformers
PyTorch
TensorBoard
English
distilbert
qa-metrics
call-center
multi-head
transcript-analysis
customer-service
quality-assurance
child-helplines
crisis-support
social-impact
swahili
east-africa
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
5

Instructions to use openchs/qa-helpline-distilbert-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use openchs/qa-helpline-distilbert-v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="openchs/qa-helpline-distilbert-v1")
    # Load model directly
    from transformers import AutoTokenizer, MultiHeadQAClassifier
    
    tokenizer = AutoTokenizer.from_pretrained("openchs/qa-helpline-distilbert-v1")
    model = MultiHeadQAClassifier.from_pretrained("openchs/qa-helpline-distilbert-v1", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
qa-helpline-distilbert-v1 / logs /run_20251001_163204
4.01 kB
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  • 3 contributors
History: 1 commit
marlonbino's picture
marlonbino
Update metrics from MLflow run a86060a1 (#3)
5718217 verified 12 months ago
  • 1759325524.7971997
    Update metrics from MLflow run a86060a1 (#3) 12 months ago
  • events.out.tfevents.1759325524.bitz-B760M-DS3H.2405322.0
    1.55 kB
    xet
    Update metrics from MLflow run a86060a1 (#3) 12 months ago