readme: # klue-roberta-base-sae
  
  * This model trained with Korean dataset.
  * Input sentence what you want to grasp intent.
  * You can use English, but don't expect accuracy.
  
  klue-roberta-base-kornli DEMO: [Ainize DEMO](https://main-klue-roberta-base-kornli-ehdwns1516.endpoint.ainize.ai/)
  
  klue-roberta-base-kornli API: [Ainize API](https://ainize.web.app/redirect?git_repo=https://github.com/ehdwns1516/KLUE-RoBERTa-base_sae)
  
  ## Overview
  
  Language model: [klue/roberta-base](https://huggingface.co/klue/roberta-base)
  
  Language: Korean
  
  Training data: [kor_sae](https://huggingface.co/datasets/kor_sae)
  
  Eval data: [kor_sae](https://huggingface.co/datasets/kor_sae)
  
  Code: See [Ainize Workspace](https://ainize.ai/workspace/create?imageId=hnj95592adzr02xPTqss&git=https://github.com/ehdwns1516/KLUE-RoBERTa-base_sae_notebook)
  
  ## Usage
  ## In Transformers
  
  ```
  from transformers import AutoTokenizer, pipeline
  
  tokenizer = AutoTokenizer.from_pretrained("ehdwns1516/klue-roberta-base-sae")
  
  classifier = pipeline(
      "text-classification",
      model="ehdwns1516/klue-roberta-base-kornli",
      return_all_scores=True,
  )
  
  context = "sentence what you want to grasp intent"
  
  result = dict()
  result[0] = classifier(context)[0]
  ```
  