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:
- 21b10e29c2168e2d38cdc14392a2fc29585977a777e044b9bcc92b0a63bad087
- Size of remote file:
- 16.5 MB
- SHA256:
- 9bb993bc5986b9bd246d8a02ebd072d80450d0e704f1521311c3f6998bfd1996
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