readme: ---
  tags: coe
  language: en
  widget:
  - text: "take our country back. Stop the steal! #trump2020"
  datasets:
  - sefaozalpadl/autonlp-data-stop_the_steal_relevancy_analysis
  co2_eq_emissions: 0.6503024714880831
  ---
  
  # Model Trained Using AutoNLP
  
  - Problem type: Binary Classification
  - Model ID: 23995359
  - CO2 Emissions (in grams): 0.6503024714880831
  
  ## Validation Metrics
  
  - Loss: 0.49598395824432373
  - Accuracy: 0.7907801418439716
  - Precision: 0.7841726618705036
  - Recall: 0.7898550724637681
  - AUC: 0.8774154589371981
  - F1: 0.7870036101083032
  
  ## 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/stop_the_steal_relevancy_analysis-binary
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForSequenceClassification, AutoTokenizer
  
  model = AutoModelForSequenceClassification.from_pretrained("sefaozalpadl/stop_the_steal_relevancy_analysis-binary", use_auth_token=True)
  
  tokenizer = AutoTokenizer.from_pretrained("sefaozalpadl/stop_the_steal_relevancy_analysis-binary", use_auth_token=True)
  
  inputs = tokenizer("take our country back. Stop the steal! #trump2020", return_tensors="pt")
  
  outputs = model(**inputs)
  ```