Instructions to use team-lucid/deberta-v3-base-korean with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use team-lucid/deberta-v3-base-korean with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("team-lucid/deberta-v3-base-korean", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c4d98ffd469526640a318495870026dff87b86a9434666e82ec9fc042e8cf804
- Size of remote file:
- 541 MB
- SHA256:
- eae92f30dc8a5b88472a8f519ce1df014b8d6e6a9778d23215ffe1e13b23c8ce
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