readme: ---
  tags: autonlp
  language: en
  widget:
  - text: "I love AutoNLP 🤗"
  datasets:
  - Harshveer/autonlp-data-formality_scoring_2
  co2_eq_emissions: 8.655894631203154
  ---
  
  # Model Trained Using AutoNLP
  
  - Problem type: Single Column Regression
  - Model ID: 32597818
  - CO2 Emissions (in grams): 8.655894631203154
  
  ## Validation Metrics
  
  - Loss: 0.5410276651382446
  - MSE: 0.5410276651382446
  - MAE: 0.5694561004638672
  - R2: 0.6830431129198475
  - RMSE: 0.735545814037323
  - Explained Variance: 0.6834385395050049
  
  ## 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/Harshveer/autonlp-formality_scoring_2-32597818
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForSequenceClassification, AutoTokenizer
  
  model = AutoModelForSequenceClassification.from_pretrained("Harshveer/autonlp-formality_scoring_2-32597818", use_auth_token=True)
  
  tokenizer = AutoTokenizer.from_pretrained("Harshveer/autonlp-formality_scoring_2-32597818", use_auth_token=True)
  
  inputs = tokenizer("I love AutoNLP", return_tensors="pt")
  
  outputs = model(**inputs)
  ```