Instructions to use Payoto/roberta-base-finetuned-swag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Payoto/roberta-base-finetuned-swag with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("Payoto/roberta-base-finetuned-swag") model = AutoModelForMultipleChoice.from_pretrained("Payoto/roberta-base-finetuned-swag", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Payoto/roberta-base-finetuned-swag: direct link, hf CLI and curl.
- Browser
- Download file 2.74 kB
-
https://huggingface.co/Payoto/roberta-base-finetuned-swag/resolve/main/training_args.bin
- Command line
-
hf download hf://Payoto/roberta-base-finetuned-swag/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Payoto/roberta-base-finetuned-swag/resolve/main/training_args.bin
2.74 kB
- Xet hash:
- ea7b3bb0fd5dd1c812f1d2480b61829e53ee4dad3dcf1d92e63d905dc803d08f
- Size of remote file:
- 2.74 kB
- SHA256:
- 38a6acd9e7e69dc8bc762ace4138e9906131074cd0ac6f7d24493c963f7af192
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