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:
- 64dcebcda288e2f9d11b3ff7a1c6ab16e6c1367dbd98a6b4a05a54e0b65b7435
- Size of remote file:
- 16.6 MB
- SHA256:
- 41ffd4a3446acc6d0ed1c38b5f95e78ac56dbd3c799ee28eee9b12fad55e3e49
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