readme: ---
  tags: autotrain
  language: en
  widget:
  - text: "Jerimee"
    example_title: "a weird human name"
  - text: "Curtastica"
    example_title: "a goblin name"
  - text: "Fatima"
    example_title: "a common human name"
  datasets:
  - Jerimee/autotrain-data-dontknowwhatImdoing
  co2_eq_emissions: 0.012147398577917884
  ---
  
  # Model Trained Using AutoTrain
  
  - Problem type: Binary Classification
  - Model ID: 980432459
  - CO2 Emissions (in grams): 0.012147398577917884
  
  ## Validation Metrics
  
  - Loss: 0.0469294898211956
  - Accuracy: 0.9917355371900827
  - Precision: 0.9936708860759493
  - Recall: 0.9936708860759493
  - AUC: 0.9990958408679927
  - F1: 0.9936708860759493
  
  ## 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/Jerimee/autotrain-dontknowwhatImdoing-980432459
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForSequenceClassification, AutoTokenizer
  
  model = AutoModelForSequenceClassification.from_pretrained("Jerimee/autotrain-dontknowwhatImdoing-980432459", use_auth_token=True)
  
  tokenizer = AutoTokenizer.from_pretrained("Jerimee/autotrain-dontknowwhatImdoing-980432459", use_auth_token=True)
  
  inputs = tokenizer("I love AutoTrain", return_tensors="pt")
  
  outputs = model(**inputs)
  ```