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:
- 9c08af4fe02a8189bbda3fcadd366de4dcd7c211205f64c71ebd6974ac590c68
- Size of remote file:
- 328 kB
- SHA256:
- 58cc93b2bbb768d8ff905b11f0c4ab949dfc651e4a62590063d89dab72b2864b
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