Instructions to use hf-internal-testing/tiny-random-Data2VecTextForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-Data2VecTextForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-Data2VecTextForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-Data2VecTextForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4482c30a22e31d066e23f9b8109df8273eaf3f3045d9ea450eb93aa49590b57
- Size of remote file:
- 354 kB
- SHA256:
- 1f598a8ef2d48c4530e6ee5f8bfc41833759399b13d958dbc300a86228f769fa
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