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:
- 7b63e41a40b400b783773cf9ea061ddba58700201b2360781812ecc43b314239
- Size of remote file:
- 4.24 MB
- SHA256:
- 103eefe9e73ce9e67f22b53c03f4235193c313a60925a0373ac6f588b1b60ec0
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