Instructions to use msintaha/bert-base-uncased-copa-kb-17 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use msintaha/bert-base-uncased-copa-kb-17 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("msintaha/bert-base-uncased-copa-kb-17") model = AutoModelForMultipleChoice.from_pretrained("msintaha/bert-base-uncased-copa-kb-17", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55525b1cb1177df470724d0a431c127342b28ea85d61d1c9f4835132b74b76ea
- Size of remote file:
- 438 MB
- SHA256:
- df88f87d4c9469394b91380e98f15f204531d4a55e41d6362f080f1bdb5accb3
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