Instructions to use beomi/KcELECTRA-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beomi/KcELECTRA-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("beomi/KcELECTRA-base") model = AutoModelForPreTraining.from_pretrained("beomi/KcELECTRA-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- befa500392856aaf9e1d906b72964963dfb013ed4356ae7a1e8a35d5aaced2ce
- Size of remote file:
- 436 MB
- SHA256:
- fb28c533dac6884c7eb6e6f8bc194e09a4cecf29f04b724fc85456055aa702d7
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