Instructions to use sebalnakji/electra-kor-base-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sebalnakji/electra-kor-base-pt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sebalnakji/electra-kor-base-pt")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sebalnakji/electra-kor-base-pt") model = AutoModel.from_pretrained("sebalnakji/electra-kor-base-pt") - Notebooks
- Google Colab
- Kaggle
이 모델은 문맥 기반 한국어 문장 순서 예측을 위해 파인튜닝된 모델입니다.
Base Model: kykim/electra-kor-base-pt
사용방법
from transformers import AutoModel, AutoTokenizer
model_name = "sebalnakji/bert-kor-base-pt"
model = AutoModel.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)
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