Instructions to use hf-tiny-model-private/tiny-random-NezhaForMultipleChoice 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-NezhaForMultipleChoice with Transformers:
# Load model directly from transformers import AutoModelForMultipleChoice model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-NezhaForMultipleChoice", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b50738d30be54481a5465194699c537d49e951a62a5af75ce14640ce799b5f5
- Size of remote file:
- 2.94 MB
- SHA256:
- 0f8e731d65fb3aaa0c230e833b2e8ea130d3778a41cc67150fb16ed95674572e
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