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 training_args.bin from Hemg/Multiple-choice-qa: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/Hemg/Multiple-choice-qa/resolve/main/training_args.bin
- Command line
-
hf download hf://Hemg/Multiple-choice-qa/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Hemg/Multiple-choice-qa/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 0af721eb61fad62edda62d1410f5cdbaa5829086d200c2442c598559a0ee1fe3
- Size of remote file:
- 4.92 kB
- SHA256:
- 7746b6e379da32f92734274c466c7671a08b49c375a05149cc7ddec9ad3c7af1
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