Instructions to use afaji/bert-gpqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use afaji/bert-gpqa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("afaji/bert-gpqa") model = AutoModelForMultipleChoice.from_pretrained("afaji/bert-gpqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3fdf00d0eaf64c67701b0657e02638fc833eeb1afa9bce1ec4969503bc77dbf2
- Size of remote file:
- 4.86 kB
- SHA256:
- 16a5b6951aa68b1ad499ad95f8c5a8adaee7933d447b716846518f350ec58c7d
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