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:
- dfa4ad5d5c1e77686d8ef16b9f5e57c498f79cd7ba7afab34e0e12bc52c4d371
- Size of remote file:
- 6.79 MB
- SHA256:
- 51e30458934028cb82e47eb54c5adf47960b266e3ebe6eb513abd64d73e7eb70
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