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 model.safetensors from rushikeshwalode/multiple_choice_model: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/rushikeshwalode/multiple_choice_model/resolve/main/model.safetensors
- Command line
-
hf download hf://rushikeshwalode/multiple_choice_model/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/rushikeshwalode/multiple_choice_model/resolve/main/model.safetensors
438 MB
- Xet hash:
- 59df37dd74c068e0d0db3da177adbe92d5b44ad5f96dd5dc916e45394053333f
- Size of remote file:
- 438 MB
- SHA256:
- 8f678bd776a8d2f6ef884ef64a7b41ad0880fb3ecdbac3c711ca9534071160d2
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