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rohitk123
/
deberta-mcq-solver

Text Classification
Transformers
Safetensors
deberta-v2
multiple-choice
deberta
mcq
question-answering
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use rohitk123/deberta-mcq-solver with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rohitk123/deberta-mcq-solver with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="rohitk123/deberta-mcq-solver")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMultipleChoice
    
    tokenizer = AutoTokenizer.from_pretrained("rohitk123/deberta-mcq-solver")
    model = AutoModelForMultipleChoice.from_pretrained("rohitk123/deberta-mcq-solver", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
deberta-mcq-solver
746 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
rohitk123's picture
rohitk123
Fix README YAML metadata
0f03bf4 3 days ago
  • .gitattributes
    50 Bytes
    Add DeBERTa MCQ model 3 days ago
  • README.md
    1.03 kB
    Fix README YAML metadata 3 days ago
  • app.py
    2.87 kB
    Add DeBERTa MCQ model 3 days ago
  • config.json
    914 Bytes
    Add DeBERTa MCQ model 3 days ago
  • model.safetensors
    738 MB
    xet
    Add DeBERTa MCQ model 3 days ago
  • requirements.txt
    55 Bytes
    Add DeBERTa MCQ model 3 days ago
  • tokenizer.json
    8.34 MB
    Add DeBERTa MCQ model 3 days ago
  • tokenizer_config.json
    509 Bytes
    Add DeBERTa MCQ model 3 days ago