Instructions to use beomi/KcELECTRA-base-v2022 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beomi/KcELECTRA-base-v2022 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("beomi/KcELECTRA-base-v2022") model = AutoModelForPreTraining.from_pretrained("beomi/KcELECTRA-base-v2022", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26767ad1c8a189e2f8ec20fb7124da36fb6818cf085c3abb87a51bc8ae850e62
- Size of remote file:
- 511 MB
- SHA256:
- 3460bb4187cdda4fbc6c8d7dfb97779e43660a86091dc9d1f01810eb5264fe53
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