Instructions to use nightingal3/bert-finetuned-wsc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nightingal3/bert-finetuned-wsc with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("nightingal3/bert-finetuned-wsc") model = AutoModelForMultipleChoice.from_pretrained("nightingal3/bert-finetuned-wsc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3364a4290ab2947de0bdcabe77e542e6539c37465a413155cbd19b19c3995aa
- Size of remote file:
- 438 MB
- SHA256:
- efeb73921b670ee196b89dd27dbaae2bbe0510ba279ef1659ae9c3506c87caa3
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