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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef352a4f72ccefa823f8120c53ef644851a0a2d5cedca8a7b3cfa5b0d6fc8bc3
- Size of remote file:
- 498 MB
- SHA256:
- dfb914aabf4627728d6494d8acda390a2f26200850a519f4bb55f1297c0ec86a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.