Instructions to use hf-internal-testing/tiny-random-NezhaForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-NezhaForMultipleChoice with Transformers:
# Load model directly from transformers import AutoModelForMultipleChoice model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-NezhaForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45547bd5e649bdd8d581bd623283a8834115910f278d5fbcedfb4735d5db1b58
- Size of remote file:
- 2.94 MB
- SHA256:
- d7e7c0f42173a3ad854b56bf445f28d2a450169b986177e4bfbd1ec1aef12e2e
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