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:
- dffc43b5b8563a7dbeea978e1d7580716a83a44cf5eaeae6cb26541fc0583371
- Size of remote file:
- 16.6 MB
- SHA256:
- c4682516bc5e9545dc12116155ec477144c9f04dab697bc2747a68372af1f840
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