Instructions to use hf-internal-testing/tiny-random-SqueezeBertForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-SqueezeBertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-SqueezeBertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-SqueezeBertForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f22a0db15701be5e0a2d20ae207d4bd872f32eb92c2f16e220bc16c20bb02bd
- Size of remote file:
- 347 kB
- SHA256:
- ae743cf500743114d6527d1d68488c1cedaa4e4f2b10842e4c155460b134d3b8
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