readme: ### Model information
    * language : Korean
    * fine tuning data : [kor_3i4k](https://huggingface.co/datasets/kor_3i4k)
    * License : CC-BY-SA 4.0
    * Base model : [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased)
    * input : sentence
    * output : intent
  
  ----
  ### Train information
   * train_runtime: 2376.638
   * train_steps_per_second: 2.175
   * train_loss: 0.356829648599977
   * epoch: 3.0
   
  ----
  ### How to use
  ```
  from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
  tokenizer = AutoTokenizer.from_pretrained (
  "seongju/kor-3i4k-bert-base-cased"
  )
  
  model = AutoModelForSequenceClassification.from_pretrained (
  "seongju/kor-3i4k-bert-base-cased"
  )
  inputs = tokenizer(
  "너는 지금 무엇을 하고 있니?",
   padding=True, truncation=True, max_length=128, return_tensors="pt"
   )
  outputs = model(**inputs)
  probs = outputs[0].softmax(1)
  output = probs.argmax().item()
  ```