Instructions to use yunjinchoi/klue-bert-base-p-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yunjinchoi/klue-bert-base-p-encoder with Transformers:
# Load model directly from transformers import AutoTokenizer, BertEncoder tokenizer = AutoTokenizer.from_pretrained("yunjinchoi/klue-bert-base-p-encoder") model = BertEncoder.from_pretrained("yunjinchoi/klue-bert-base-p-encoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d4ae0d2013108a0666dfc795390532198804da9fc348c43a6746e0b65ffb0d2
- Size of remote file:
- 443 MB
- SHA256:
- 30b22badcfc43a012b83d6a13c518fd82fbd1ed0bda891aa851f126125e80e12
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