Instructions to use hf-tiny-model-private/tiny-random-FNetForMultipleChoice 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-FNetForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-FNetForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-FNetForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc0c4f92119db60a66654029e22e985b343aac181e34473ea7064673a89fe591
- Size of remote file:
- 4.23 MB
- SHA256:
- f036e943f4b52d59d8cd112fa8644ad898aa03000de233c36fad7419a9354a39
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