Instructions to use hf-internal-testing/tiny-random-RobertaForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-RobertaForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-RobertaForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-RobertaForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40f6fc8aad1cb595bcc2515c7b6a913a20644c2e757ca5229a7483417497d926
- Size of remote file:
- 372 kB
- SHA256:
- 0628a4101efc4e57af4246dbd652c7e18fb3834ffca874586cd71df59af0faf1
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