Instructions to use hf-internal-testing/tiny-random-DebertaV2ForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-DebertaV2ForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-DebertaV2ForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-DebertaV2ForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b37ead6c7bab56c6b89204b43243a86416836b0c9402aea63f2bcf487bd48796
- Size of remote file:
- 16.5 MB
- SHA256:
- 0062647471727e49421a1f577755e7e45048126f9ffefe4a744d447f0a9a2171
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