Instructions to use hf-tiny-model-private/tiny-random-BigBirdForMultipleChoice 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-BigBirdForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BigBirdForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-BigBirdForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87dca2421e6eba8c2def6ef4395a6d5be2f548b4bb4e37e5cecc7959fa697607
- Size of remote file:
- 6.55 MB
- SHA256:
- 8360369e0bf93a6223c2f2f11426bb47130a480c9a85bb50b8dc537d5fbc8176
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