readme: ---
  tags: autonlp
  language: en
  widget:
  - text: "I love AutoNLP 🤗"
  datasets:
  - msamogh/autonlp-data-cai-out-of-scope
  co2_eq_emissions: 0.3996916853309825
  ---
  
  # Model Trained Using AutoNLP
  
  - Problem type: Binary Classification
  - Model ID: 649919118
  - CO2 Emissions (in grams): 0.3996916853309825
  
  ## Validation Metrics
  
  - Loss: 0.48289698362350464
  - Accuracy: 0.8064516129032258
  - Precision: 0.828125
  - Recall: 0.8833333333333333
  - AUC: 0.8353535353535354
  - F1: 0.8548387096774193
  
  ## 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/msamogh/autonlp-cai-out-of-scope-649919118
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForSequenceClassification, AutoTokenizer
  
  model = AutoModelForSequenceClassification.from_pretrained("msamogh/autonlp-cai-out-of-scope-649919118", use_auth_token=True)
  
  tokenizer = AutoTokenizer.from_pretrained("msamogh/autonlp-cai-out-of-scope-649919118", use_auth_token=True)
  
  inputs = tokenizer("I love AutoNLP", return_tensors="pt")
  
  outputs = model(**inputs)
  ```