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:
- e93b446dd82e80df224f6b4edcd730c631d8ae536415991774b0e49429ecb14c
- Size of remote file:
- 3.96 kB
- SHA256:
- c626906decfe940f0094a208b06b95f08a82d636f69ce52271adf5ff0ae28124
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