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:
- a3c7cf40f88194b7b9af38c4e0f13d2c7c1ac8374b8d75ef753bc464229fe6fc
- Size of remote file:
- 16.5 MB
- SHA256:
- 5a6c5eda6cab8b0bf97b0a576a98c59e324e1cfd540ab2b285bd0f444baf6d0f
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