Instructions to use AnishSPIT/deberta-mcq-solver with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnishSPIT/deberta-mcq-solver with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("AnishSPIT/deberta-mcq-solver") model = AutoModelForMultipleChoice.from_pretrained("AnishSPIT/deberta-mcq-solver", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6bd079d8585fbcdbf47cb3a534f888b5aaa32b8994301f5c47573e6cf825d7da
- Size of remote file:
- 2.46 MB
- SHA256:
- c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
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