Instructions to use hf-tiny-model-private/tiny-random-RobertaForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-RobertaForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-RobertaForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-RobertaForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bad0566ff269ef004f3edae419b9b98550c2c2e67e6a9aad72914fa4ae4c9c3f
- Size of remote file:
- 468 kB
- SHA256:
- 374fe7230ecbad8c36be27a9bacfb4cfc90891181a2c6d95585465bc4af828ee
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