Instructions to use Hemg/Multiple-choice-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hemg/Multiple-choice-qa with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("Hemg/Multiple-choice-qa") model = AutoModelForMultipleChoice.from_pretrained("Hemg/Multiple-choice-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Hemg/Multiple-choice-qa: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/Hemg/Multiple-choice-qa/resolve/main/tokenizer.json
- Command line
-
hf download hf://Hemg/Multiple-choice-qa/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Hemg/Multiple-choice-qa/resolve/main/tokenizer.json
711 kB
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