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:
- 1c2c7bc0c1a3a51f1112e76563c0f61b3eb2d30d2d5a4ff532791f4a5b0511e1
- Size of remote file:
- 16.5 MB
- SHA256:
- c91dd746db5855da6f2405ead3501d1aab1bef71934f7d89d2f212f09cb83e24
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