Instructions to use Lyla/bert-base-uncased-finetuned-swag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lyla/bert-base-uncased-finetuned-swag with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("Lyla/bert-base-uncased-finetuned-swag") model = AutoModelForMultipleChoice.from_pretrained("Lyla/bert-base-uncased-finetuned-swag") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fecafd015b61f55b8234a5c8090930bac25630695c187978374faef0143f4e2e
- Size of remote file:
- 438 MB
- SHA256:
- ee819208cf48f32a00c1d8fb273451c557825a8995fbf6b0fd1e6356d6de9455
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