Instructions to use Vivek/gptneo_winogrande with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vivek/gptneo_winogrande with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("Vivek/gptneo_winogrande") model = AutoModelForMultipleChoice.from_pretrained("Vivek/gptneo_winogrande") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7cf58bd687df938bad87e40faf2839a31ad1bdbfa8557ab3473060a913e57bc
- Size of remote file:
- 5.26 GB
- SHA256:
- 42ac12fc34d891f895f66bbb36ecd1fad6d9fe892fbf691d40a88e74432cd8b9
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