Instructions to use hf-internal-testing/tiny-random-FNetForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-FNetForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-FNetForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-FNetForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1b4e5932b7feca65570ef32fd30ac3b1736cbffec77bfca5969ad367d3e1626
- Size of remote file:
- 4.23 MB
- SHA256:
- cd884232a51a06034b11156bc4d4ffb244022a7af41a49bdaa945633a75319d0
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