Instructions to use pszemraj/roberta-base-unified-mcqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pszemraj/roberta-base-unified-mcqa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("pszemraj/roberta-base-unified-mcqa") model = AutoModelForMultipleChoice.from_pretrained("pszemraj/roberta-base-unified-mcqa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fbdaa27c6b47d4004fc19b41bd2d814bb5540410bab15933f66a27e30d12ad6b
- Size of remote file:
- 5.43 kB
- SHA256:
- bfda63a457c68df9de985de4dae7cd7b1d61d7fd18043b98c88b22a59de51309
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