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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b24b09d624b513a344fd5d9a24745204985d0353a59a93e270d0932b33fc5e0
- Size of remote file:
- 16.6 MB
- SHA256:
- 431765474e8fe85a88ccd236f5e4fbd87cafa14fd3ac00561a97b621b8e0d314
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