readme: ---
  tags: autotrain
  language: unk
  widget:
  - text: "I love AutoTrain 🤗"
  datasets:
  - Luojike/autotrain-data-test_3
  co2_eq_emissions: 0.03985401798934018
  ---
  
  # Model Trained Using AutoTrain
  
  - Problem type: Binary Classification
  - Model ID: 1071537591
  - CO2 Emissions (in grams): 0.03985401798934018
  
  ## Validation Metrics
  
  - Loss: 0.5283975601196289
  - Accuracy: 0.7389705882352942
  - Precision: 0.5032894736842105
  - Recall: 0.3574766355140187
  - AUC: 0.7135599403856304
  - F1: 0.41803278688524587
  
  ## 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/Luojike/autotrain-test_3-1071537591
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForSequenceClassification, AutoTokenizer
  
  model = AutoModelForSequenceClassification.from_pretrained("Luojike/autotrain-test_3-1071537591", use_auth_token=True)
  
  tokenizer = AutoTokenizer.from_pretrained("Luojike/autotrain-test_3-1071537591", use_auth_token=True)
  
  inputs = tokenizer("I love AutoTrain", return_tensors="pt")
  
  outputs = model(**inputs)
  ```