Instructions to use Galvanlezzo/multipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Galvanlezzo/multipleChoice with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("Galvanlezzo/multipleChoice") model = AutoModelForMultipleChoice.from_pretrained("Galvanlezzo/multipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Galvanlezzo/multipleChoice: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Galvanlezzo/multipleChoice/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://Galvanlezzo/multipleChoice@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Galvanlezzo/multipleChoice/resolve/refs%2Fpr%2F1/pytorch_model.bin
438 MB
- Xet hash:
- 015491f48e92a5cca27c6ae321764ca1426bd15c4d977536473981b4804d6bcb
- Size of remote file:
- 438 MB
- SHA256:
- 41486328cb00f5cf4b301846888de37df465c7f1b226f01ecf76e20db0d094e5
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