Instructions to use hf-tiny-model-private/tiny-random-DebertaV2ForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-DebertaV2ForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-DebertaV2ForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-DebertaV2ForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd0fba1543801ea4bfcd9302108bef6b5f5d1ef805b3414667a2e71b95eed3af
- Size of remote file:
- 16.6 MB
- SHA256:
- 38fe7fd127a1481b95aa37eb6fb79e806b1600b66c4262c486bbd5802632c88f
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