readme: ---
  tags:
  - autotrain
  - text-regression
  language:
  - en
  widget:
  - text: "I love AutoTrain 🤗"
  datasets:
  - orange6996/autotrain-data-testtextexists
  co2_eq_emissions:
    emissions: 0.3550338626114656
  ---
  
  # Model Trained Using AutoTrain
  
  - Problem type: Single Column Regression
  - Model ID: 1966366048
  - CO2 Emissions (in grams): 0.3550
  
  ## Validation Metrics
  
  - Loss: 4911.982
  - MSE: 4911.981
  - MAE: 68.106
  - R2: -16.962
  - RMSE: 70.086
  - Explained Variance: -0.000
  
  ## 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/orange6996/autotrain-testtextexists-1966366048
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForSequenceClassification, AutoTokenizer
  
  model = AutoModelForSequenceClassification.from_pretrained("orange6996/autotrain-testtextexists-1966366048", use_auth_token=True)
  
  tokenizer = AutoTokenizer.from_pretrained("orange6996/autotrain-testtextexists-1966366048", use_auth_token=True)
  
  inputs = tokenizer("I love AutoTrain", return_tensors="pt")
  
  outputs = model(**inputs)
  ```