readme: ---
  
  language: eng
  widget:
  - text: "You can control cookies and tracking tools. To learn how to manage how we - and our vendors - use cookies and other tracking tools, please click here."
  datasets:
  - Adi2K/autonlp-data-Priv-Consent
  ---
  
  # Model
  
  - Problem type: Binary Classification
  - Model ID: 12592372
  
  ## Validation Metrics
  
  - Loss: 0.23033875226974487
  - Accuracy: 0.9138655462184874
  - Precision: 0.9087136929460581
  - Recall: 0.9201680672268907
  - AUC: 0.9690346726926065
  - F1: 0.9144050104384133
  
  ## 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/Adi2K/autonlp-Priv-Consent-12592372
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForSequenceClassification, AutoTokenizer
  
  model = AutoModelForSequenceClassification.from_pretrained("Adi2K/autonlp-Priv-Consent-12592372", use_auth_token=True)
  
  tokenizer = AutoTokenizer.from_pretrained("Adi2K/autonlp-Priv-Consent-12592372", use_auth_token=True)
  
  inputs = tokenizer("I love AutoNLP", return_tensors="pt")
  
  outputs = model(**inputs)
  ```