Instructions to use hf-tiny-model-private/tiny-random-Data2VecTextForMultipleChoice 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-Data2VecTextForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-Data2VecTextForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-Data2VecTextForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b261894f253681257079c0fa3586d45043f43556b6bea6ab7a8ba078581c5feb
- Size of remote file:
- 354 kB
- SHA256:
- b333935d37f8d43b565df2c42a9df0022d54d3bf3279b77fa5fa39d0d77622b1
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