readme: ---
  tags:
  - autotrain
  - text-classification
  language:
  - unk
  widget:
  - text: "I love AutoTrain 🤗"
  datasets:
  - Ahmed-Abousetta/autotrain-data-abunawaf-performance
  co2_eq_emissions:
    emissions: 0.6594479502465727
  ---
  
  # Model Trained Using AutoTrain
  
  - Problem type: Binary Classification
  - Model ID: 1860063571
  - CO2 Emissions (in grams): 0.6594
  
  ## Validation Metrics
  
  - Loss: 0.447
  - Accuracy: 0.824
  - Precision: 0.841
  - Recall: 0.792
  - AUC: 0.886
  - F1: 0.815
  
  ## 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/Ahmed-Abousetta/autotrain-abunawaf-performance-1860063571
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForSequenceClassification, AutoTokenizer
  
  model = AutoModelForSequenceClassification.from_pretrained("Ahmed-Abousetta/autotrain-abunawaf-performance-1860063571", use_auth_token=True)
  
  tokenizer = AutoTokenizer.from_pretrained("Ahmed-Abousetta/autotrain-abunawaf-performance-1860063571", use_auth_token=True)
  
  inputs = tokenizer("I love AutoTrain", return_tensors="pt")
  
  outputs = model(**inputs)
  ```