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:
- 3110c8477ea8b581a42b0056b0828460dda2d16f621726c8902021856ca0af45
- Size of remote file:
- 4.09 kB
- SHA256:
- 71a92611cfb84edcfead886cdc38e606e5e91abe560940f9aac0236cd5bd0af7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.