readme: ---
  tags: autotrain
  language: ko
  widget:
  - text: "개념 집에다 ctrl+z헤놓고 왔나"
  datasets:
  - jason9693/APEACH
  co2_eq_emissions: 0.01856239042036965
  ---
  
  # Model Trained Using AutoTrain
  
  - Problem type: Binary Classification
  - Model ID: 742522663
  - CO2 Emissions (in grams): 0.01856239042036965
  
  ## Validation Metrics
  
  - Loss: 0.4798508286476135
  - Accuracy: 0.7740053050397878
  - Precision: 0.7236622073578596
  - Recall: 0.9006243496357961
  - AUC: 0.8798210006261515
  - F1: 0.8025034770514604
  
  ## Usage
  
  You can use cURL to access this model:
  
  ```
  $ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/models/jason9693/autotrain-kor_hate_eval-742522663
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForSequenceClassification, AutoTokenizer
  
  model = AutoModelForSequenceClassification.from_pretrained("jason9693/autotrain-kor_hate_eval-742522663", use_auth_token=True)
  
  tokenizer = AutoTokenizer.from_pretrained("jason9693/autotrain-kor_hate_eval-742522663", use_auth_token=True)
  
  inputs = tokenizer("I love AutoTrain", return_tensors="pt")
  
  outputs = model(**inputs)
  ```