Instructions to use Nared45/qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nared45/qa_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("Nared45/qa_model") model = AutoModelForMultipleChoice.from_pretrained("Nared45/qa_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1f8efae8af71c09ce355d380a4a086b7184e3f3452bc29dbf5109f2a95756e6
- Size of remote file:
- 268 MB
- SHA256:
- 8672228a9736c4bf2cb45ec79548952a298e26995b567fbb5c9c83c555093b6e
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