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:
- aa7425fd1448c7c82eb3bdbb54cb401169caed876eadc5a4cbb10bb7a8882dba
- Size of remote file:
- 353 kB
- SHA256:
- d4ef6082b34f402fcfa43adaa8d8c4ae7ed7e197950de9d19f374ab48e08b9dd
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