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gtfintechlab
/
SubjECTiveQA-CAUTIOUS

Text Classification
Transformers
Safetensors
English
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use gtfintechlab/SubjECTiveQA-CAUTIOUS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use gtfintechlab/SubjECTiveQA-CAUTIOUS with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="gtfintechlab/SubjECTiveQA-CAUTIOUS")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("gtfintechlab/SubjECTiveQA-CAUTIOUS")
    model = AutoModelForSequenceClassification.from_pretrained("gtfintechlab/SubjECTiveQA-CAUTIOUS")
  • Notebooks
  • Google Colab
  • Kaggle

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