readme: ---
  tags: autotrain
  language: en
  widget:
  - text: "I love AutoTrain 🤗"
  datasets:
  - Johny201/autotrain-data-article_pred
  co2_eq_emissions: 3.973071565343572
  ---
  
  # Model Trained Using AutoTrain
  
  - Problem type: Binary Classification
  - Model ID: 1142742075
  - CO2 Emissions (in grams): 3.973071565343572
  
  ## Validation Metrics
  
  - Loss: 0.6098461151123047
  - Accuracy: 0.7227722772277227
  - Precision: 0.6805555555555556
  - Recall: 0.9074074074074074
  - AUC: 0.7480299448384554
  - F1: 0.7777777777777779
  
  ## 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/Johny201/autotrain-article_pred-1142742075
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForSequenceClassification, AutoTokenizer
  
  model = AutoModelForSequenceClassification.from_pretrained("Johny201/autotrain-article_pred-1142742075", use_auth_token=True)
  
  tokenizer = AutoTokenizer.from_pretrained("Johny201/autotrain-article_pred-1142742075", use_auth_token=True)
  
  inputs = tokenizer("I love AutoTrain", return_tensors="pt")
  
  outputs = model(**inputs)
  ```