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:
# pip install -U transformers accelerate # 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
Download tokenizer.json from hf-internal-testing/tiny-random-FNetForMultipleChoice: direct link, hf CLI and curl.
- Browser
- Download file 1.6 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-FNetForMultipleChoice/resolve/0e28ed30258f909806bf27a824d95b17844d2f6a/tokenizer.json
- Command line
-
hf download hf://hf-internal-testing/tiny-random-FNetForMultipleChoice@0e28ed30258f909806bf27a824d95b17844d2f6a/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/hf-internal-testing/tiny-random-FNetForMultipleChoice/resolve/0e28ed30258f909806bf27a824d95b17844d2f6a/tokenizer.json
1.6 MB
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