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:
# pip install -U transformers accelerate # 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
Commit History
-
tags
prajjwal1fc420a6 -
Merge branch 'main' of https://huggingface.co/prajjwal1/roberta_hellaswag into main
prajjwal19d5d08d -
author
prajjwal11c4ee63 -
Create README.md
`RoBERTa` Multiple choice LM trained on HellaSwag. It gets around 74.99% accuracy. @[prajjwal_1](https://twitter.com/prajjwal_1/)253ede6 -
v1
prajjwal14014e15 -
initial commit
881c1a8