Instructions to use lassl/bert-ko-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lassl/bert-ko-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="lassl/bert-ko-base")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("lassl/bert-ko-base") model = AutoModelForPreTraining.from_pretrained("lassl/bert-ko-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d921badf232451dc0a81bcdf2ab54832fa5fc2be560cd13506a750560d22f58
- Size of remote file:
- 662 MB
- SHA256:
- 777d157b20ad23d5512b7d182c14984b904c824513e49f12fd9aae03e3e4585c
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