readme: ---
  tags: autotrain
  language: unk
  widget:
  - text: "I love AutoTrain 🤗"
  datasets:
  - Luojike/autotrain-data-test-4-macbert
  co2_eq_emissions: 0.012225117907336358
  ---
  
  # Model Trained Using AutoTrain
  
  - Problem type: Binary Classification
  - Model ID: 1071837613
  - CO2 Emissions (in grams): 0.012225117907336358
  
  ## Validation Metrics
  
  - Loss: 0.533202052116394
  - Accuracy: 0.7408088235294118
  - Precision: 0.5072463768115942
  - Recall: 0.4088785046728972
  - AUC: 0.710585043624057
  - F1: 0.4527813712807245
  
  ## 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-4-macbert-1071837613
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForSequenceClassification, AutoTokenizer
  
  model = AutoModelForSequenceClassification.from_pretrained("Luojike/autotrain-test-4-macbert-1071837613", use_auth_token=True)
  
  tokenizer = AutoTokenizer.from_pretrained("Luojike/autotrain-test-4-macbert-1071837613", use_auth_token=True)
  
  inputs = tokenizer("I love AutoTrain", return_tensors="pt")
  
  outputs = model(**inputs)
  ```