Instructions to use prajjwal1/roberta_hellaswag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prajjwal1/roberta_hellaswag with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("prajjwal1/roberta_hellaswag") model = AutoModelForMultipleChoice.from_pretrained("prajjwal1/roberta_hellaswag", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b880aa99fe5a488b9bcecaf729e130afce1ec5e805ad3116f97060737bd29073
- Size of remote file:
- 1.42 GB
- SHA256:
- b0d83c87c39dd5e6d0aa4540b2c74ce843963c83bcd4ca4e3ad49c5ad41ac000
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