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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("team-lucid/deberta-v3-base-korean", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from team-lucid/deberta-v3-base-korean: direct link, hf CLI and curl.
- Browser
- Download file 541 MB
-
https://huggingface.co/team-lucid/deberta-v3-base-korean/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://team-lucid/deberta-v3-base-korean/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/team-lucid/deberta-v3-base-korean/resolve/main/pytorch_model.bin
541 MB
- Xet hash:
- a67a5d47a72a6382da775877270c38ebb9f9c17630f1db4017919241b6f61183
- Size of remote file:
- 541 MB
- SHA256:
- 01680263e23322199e889a49d0220c0932e8c9276f791dd7d1325b446318a8c5
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