Instructions to use hf-tiny-model-private/tiny-random-SqueezeBertForMultipleChoice 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-SqueezeBertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-SqueezeBertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-SqueezeBertForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55bfd51dde6dffd331059ca97883c20c5ff98590d3e3e9a83668b1ad6f3e3ad1
- Size of remote file:
- 347 kB
- SHA256:
- 739db3f0a220ace0016f8db8e4ee62a1213f21e31b28b08404720dfbffaff08c
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