Text Classification
Transformers
Safetensors
deberta-v2
multiple-choice
deberta
mcq
question-answering
text-embeddings-inference
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")# pip install -U transformers accelerate # 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
Commit History
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Add DeBERTa MCQ model
76acfc0