Instructions to use abcdda/course_qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abcdda/course_qa with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("abcdda/course_qa") model = AutoModelForMultipleChoice.from_pretrained("abcdda/course_qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from abcdda/course_qa: direct link, hf CLI and curl.
- Browser
- Download file 3.31 kB
-
https://huggingface.co/abcdda/course_qa/resolve/main/training_args.bin
- Command line
-
hf download hf://abcdda/course_qa/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/abcdda/course_qa/resolve/main/training_args.bin
3.31 kB
- Xet hash:
- 056a1c9efed1a1c701f7469f050fd943a5d90ffbd568b9feae0d99505458c846
- Size of remote file:
- 3.31 kB
- SHA256:
- 72ec1c772a15039584c1d64d6cfe62b4c011e1a1cc11f2f841d9cec3f8ca2575
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