Instructions to use hf-internal-testing/tiny-random-AlbertForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-AlbertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-AlbertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-AlbertForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db073404e8fcff1908a7afd765d0be19c1f2cfc3f25939557cc98d1e8a631040
- Size of remote file:
- 15.9 MB
- SHA256:
- 3cf64b8ccbddfdde38996dd2c5f808dd0f036aac4e1a345d8c73bedef12441f3
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