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 tokenizer.json from rushikeshwalode/multiple_choice_model: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/rushikeshwalode/multiple_choice_model/resolve/main/tokenizer.json
- Command line
-
hf download hf://rushikeshwalode/multiple_choice_model/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/rushikeshwalode/multiple_choice_model/resolve/main/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.