Instructions to use rushikeshwalode/multiple_choice_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rushikeshwalode/multiple_choice_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("rushikeshwalode/multiple_choice_model") model = AutoModelForMultipleChoice.from_pretrained("rushikeshwalode/multiple_choice_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from rushikeshwalode/multiple_choice_model: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/rushikeshwalode/multiple_choice_model/resolve/main/training_args.bin
- Command line
-
hf download hf://rushikeshwalode/multiple_choice_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/rushikeshwalode/multiple_choice_model/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- fd0fba41adde5a07d784ce6acf31aca9185cd8223dd426a6ff4e7abf95d5ba96
- Size of remote file:
- 5.78 kB
- SHA256:
- 1e033a9ece4ae124122aff6485661c89c0209cc6e6411520da6763bbfc1e9224
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