Instructions to use VuongQuoc/Debertalarg_model_multichoice_Version2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VuongQuoc/Debertalarg_model_multichoice_Version2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("VuongQuoc/Debertalarg_model_multichoice_Version2") model = AutoModelForMultipleChoice.from_pretrained("VuongQuoc/Debertalarg_model_multichoice_Version2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6992405e72a4519efe64db040a4e5afa9488c38e79da80d8a3befa0642642abe
- Size of remote file:
- 1.74 GB
- SHA256:
- 5643beb13ddd58da089c010b52eeb65bd8f3d9752e69e7372ad6fdf746ea2a85
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