Instructions to use hf-tiny-model-private/tiny-random-LukeForMultipleChoice 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-LukeForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-LukeForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-LukeForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67d9cd72943deccd8e8961ac5abdc0093be1d419c6ed7a925a306ceb51e80c6b
- Size of remote file:
- 6.81 MB
- SHA256:
- d8ca7787954a5e7ab9f5e27425572f2395a8d5fa32f864adc8b9aff6e42271af
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