Instructions to use hf-tiny-model-private/tiny-random-BertForMultipleChoice 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-BertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-BertForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23b383f8c390645f408a2211e60d74e8837c8d77725d17f0e475f897b48e0053
- Size of remote file:
- 366 kB
- SHA256:
- d182b7d49509ecc1d0aadc19ef5bf4cae883b220fb6e479c0fa338ad7e95c84c
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