Instructions to use team-lucid/deberta-v3-small-korean with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use team-lucid/deberta-v3-small-korean with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("team-lucid/deberta-v3-small-korean", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2beaa34f8b457de664f70265bb76ddbee6f11783091f0c403cfdcc2cd95e315
- Size of remote file:
- 371 MB
- SHA256:
- bf9f6f2acc9121f772aac6dd0ee5e2d902f56033f9268bf27113153901c0a153
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