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:
- 0f8cafe7c67e2e590a7d2ea7ea427b5a2dd2f40cbce6a09f1173a82ef122322c
- Size of remote file:
- 16.6 MB
- SHA256:
- 094274abb5ea4f8f8c9aaa68f7ba079b7acb9f3e1ad1feb9e10fef58d8830ff3
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