Instructions to use lighthouse/mdeberta-v3-base-kor-further with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lighthouse/mdeberta-v3-base-kor-further with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lighthouse/mdeberta-v3-base-kor-further", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43755ca7fa242e8701c56be6c6e96d5e1eb9f8a2827eea552bd14744797eec0f
- Size of remote file:
- 559 MB
- SHA256:
- 38fba5483de669ada10c9f5fcb70bc225ac56c64b606267899bc81c20d7825a6
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