Instructions to use kykim/electra-kor-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kykim/electra-kor-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("kykim/electra-kor-base") model = AutoModelForPreTraining.from_pretrained("kykim/electra-kor-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from kykim/electra-kor-base: direct link, hf CLI and curl.
- Browser
- Download file 473 MB
-
https://huggingface.co/kykim/electra-kor-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kykim/electra-kor-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kykim/electra-kor-base/resolve/main/pytorch_model.bin
473 MB
- Xet hash:
- c85c8a0d643da8f2492fe8db9f3120230e52a17f9ebe14b54a6f8f876482a794
- Size of remote file:
- 473 MB
- SHA256:
- 343dffe8986fc42783491ae5b0b1b0d7d0bcb8ba9e7f967ef5eed57df09c581b
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