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:
# pip install -U transformers accelerate # 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
Commit History
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Adding `safetensors` variant of this model (#5)
Verified signature- Adding `safetensors` variant of this model (9e46912434d1b054f9fcea5b9602ef6db7305147) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>681201a
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Add v2023 model and tokenizer(BBPE)
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Add v2022 model and ckpt
4cf9eb1
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Create README.md
5b4ca19
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Add TF weights (#1)
- add TF weights (a5b92abec85bc745f059aebd7129fd72abf3dbda) Co-authored-by: Joao Gante <joaogante@users.noreply.huggingface.co>686333e
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Add 848.4k KcELECTRA-base
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initial commit
3de5c62