Instructions to use hf-tiny-model-private/tiny-random-LongformerForMultipleChoice 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-LongformerForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-LongformerForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-LongformerForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31d6b16fac2ef7c84abe737e1431b6f93af03cf4286e3d8fd9ceb0ea9a3b3cf3
- Size of remote file:
- 565 kB
- SHA256:
- 7b3c12f44b0eb0de5c54053abbfc661f7df0436c1da72fb342ce32d878386fa9
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