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:
- 936898ab48594b6ae8836cddea0cbea53b12be26a7a9203b0117b4b664802949
- Size of remote file:
- 2.8 kB
- SHA256:
- 13652e20e220185a670ca852ff4b71dd5b81de0eab64b6fa5cb56849b9e1dcb0
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