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huaen
/
question_detection

Text Classification
Transformers
PyTorch
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
4

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

  • Libraries
  • Transformers

    How to use huaen/question_detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="huaen/question_detection")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("huaen/question_detection")
    model = AutoModelForSequenceClassification.from_pretrained("huaen/question_detection")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

What is the accuracy of the model?

#4 opened almost 3 years ago by
jvhoffbauer

How is the model trained?

#3 opened almost 3 years ago by
jvhoffbauer

Adding `safetensors` variant of this model

#2 opened about 3 years ago by
SFconvertbot

Please provide more details on training data and code to predict.

#1 opened over 3 years ago by
gokul427
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