Instructions to use Galvanlezzo/multipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Galvanlezzo/multipleChoice with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("Galvanlezzo/multipleChoice") model = AutoModelForMultipleChoice.from_pretrained("Galvanlezzo/multipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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End of training
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Training in progress, step 500
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