Instructions to use gauravjhaiitm/deberta-mcq-solver with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gauravjhaiitm/deberta-mcq-solver with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("gauravjhaiitm/deberta-mcq-solver") model = AutoModelForMultipleChoice.from_pretrained("gauravjhaiitm/deberta-mcq-solver", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3d918cb9fbb6befb37bd9c28a87fd10d4d888a2eafad15e45d06f34e15787fe
- Size of remote file:
- 5.65 kB
- SHA256:
- 92ee6208ea398eb40ef01a857ffd300b12cf7510fb1f953013e9751c46e88803
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