readme: ---
  tags: coe
  language: en
  widget:
  - text: "@PressSec Response to Putin is laughable. He has Biden's number. He knows Biden can't hold up in a live debate, and the Chinese did a number on the U.S. too. Biden is making US the laughing stock of the world. We pay the price for a stolen election"
  datasets:
  - sefaozalpadl/autonlp-data-election_relevancy_analysis
  co2_eq_emissions: 1.3248523193990855
  ---
  
  # Election Fraud Binary Classifier
  
  - Problem type: Binary Classification
  - Model ID: 23315155
  - CO2 Emissions (in grams): 1.3248523193990855
  
  ## Validation Metrics
  
  - Loss: 0.4240806996822357
  - Accuracy: 0.8173913043478261
  - Precision: 0.8837209302325582
  - Recall: 0.8085106382978723
  - AUC: 0.8882580285281696
  - F1: 0.8444444444444444
  
  ## 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 AutoNLP"}' https://api-inference.huggingface.co/models/sefaozalpadl/election_relevancy_best
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
  tokenizer = AutoTokenizer.from_pretrained("sefaozalpadl/election_relevancy_best")
  
  model = AutoModelForSequenceClassification.from_pretrained("sefaozalpadl/election_relevancy_best")
  
  inputs = tokenizer("I love AutoNLP", return_tensors="pt")
  
  outputs = model(**inputs)
  ```