Instructions to use VuongQuoc/checkpoints_27_9_microsoft_deberta_21_9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VuongQuoc/checkpoints_27_9_microsoft_deberta_21_9 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("VuongQuoc/checkpoints_27_9_microsoft_deberta_21_9") model = AutoModelForMultipleChoice.from_pretrained("VuongQuoc/checkpoints_27_9_microsoft_deberta_21_9", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12b7d5ee29686414cdb5789c843f5ce04676609310aa007cc88133dce0047168
- Size of remote file:
- 1.74 GB
- SHA256:
- cf4fac4eb8f7edeb9c3ca7d705d632615fb04b7c3c4490b392fdab82507d55e4
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