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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", device_map="auto")
    # 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
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#5 opened 9 months ago by
SFconvertbot

Adding `safetensors` variant of this model

#4 opened 10 months ago by
SFconvertbot

Adding `safetensors` variant of this model

#2 opened 10 months ago by
SFconvertbot

Adding `safetensors` variant of this model

#1 opened 10 months ago by
SFconvertbot
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