Instructions to use kykim/bert-kor-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kykim/bert-kor-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="kykim/bert-kor-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("kykim/bert-kor-base") model = AutoModelForMaskedLM.from_pretrained("kykim/bert-kor-base") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 51f1129430f73fcbab1d31e4460b0275de2d69b08b31692370b48041c8b0b22f
- Size of remote file:
- 476 MB
- SHA256:
- ae43a392e533ccb9fd38e5c65130aeee50381b87e81e795f9d90469accd78236
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