Instructions to use team-lucid/deberta-v3-xlarge-korean with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use team-lucid/deberta-v3-xlarge-korean with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("team-lucid/deberta-v3-xlarge-korean", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download rust_model.ot from team-lucid/deberta-v3-xlarge-korean: direct link, hf CLI and curl.
- Browser
- Download file 1.56 GB
-
https://huggingface.co/team-lucid/deberta-v3-xlarge-korean/resolve/main/rust_model.ot
- Command line
-
hf download hf://team-lucid/deberta-v3-xlarge-korean/rust_model.ot
-
curl -L -o rust_model.ot https://huggingface.co/team-lucid/deberta-v3-xlarge-korean/resolve/main/rust_model.ot
1.56 GB
- Xet hash:
- b88aa2165cc31e91bfd9ac2a4da17ade5acdf7c99e9a73b2242c6d01224541da
- Size of remote file:
- 1.56 GB
- SHA256:
- 3e29b5b798aaad425cf2ec47d0c04fa11bdbe4b1d3d3e10bca5bfdc4cd2f2f5c
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