Instructions to use VuongQuoc/Debertalarg_model_multichoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VuongQuoc/Debertalarg_model_multichoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("VuongQuoc/Debertalarg_model_multichoice") model = AutoModelForMultipleChoice.from_pretrained("VuongQuoc/Debertalarg_model_multichoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc8b32c8b362babddc976dccd213d604595b6a3675e969f7157365c694c813c4
- Size of remote file:
- 1.74 GB
- SHA256:
- 6c10ec28dbc658f5531092cb28c6a7c8265319fa6b50ab28f0f37140e12a4d14
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