Instructions to use Vivek/gptneo_hellaswag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vivek/gptneo_hellaswag with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("Vivek/gptneo_hellaswag") model = AutoModelForMultipleChoice.from_pretrained("Vivek/gptneo_hellaswag") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 215d17ef6c7fe93c0a8775d239b0470a64dd2b03299e931ccbd4b77a0aeea2db
- Size of remote file:
- 5.26 GB
- SHA256:
- cb28e9c02878b25c9e9b89780245951c2fcdc361f75fef67e8f45f2d1aea93b0
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