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:
- df17e467e0509d03871a4ceee0be3eb009ed171a57130d4edd480d2787e383fe
- Size of remote file:
- 328 kB
- SHA256:
- 7ff629be301e4c701e4cec8c447e42e02a84ef91a216dce53ad0304a3888ca87
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