Instructions to use QQhahaha/ParagraphSelectModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use QQhahaha/ParagraphSelectModel with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("QQhahaha/ParagraphSelectModel") model = AutoModelForMultipleChoice.from_pretrained("QQhahaha/ParagraphSelectModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b19759665bd1f43d0f76afe69db04970714d76ec20f064f0d9ace07a9c059781
- Size of remote file:
- 409 MB
- SHA256:
- ec4e647f4505a7b26ba3462f5e41cfd1e64ed90dda2e5833e11dea179b254cde
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.