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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f4ebcd9b7b9205924f2afecb758089ed16fd442eebf2b26cd02e3e99b0932c0
- Size of remote file:
- 4.24 MB
- SHA256:
- 8bfcef0446f3706c718aae5647daa508f7bf989434cd922206bf3991bf65c08d
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