readme: ---
  tags: autonlp
  language: de
  widget:
  - text: "I love AutoNLP 🤗"
  datasets:
  - muhtasham/autonlp-data-Doctor_DE
  co2_eq_emissions: 210.5957437893554
  ---
  
  # Model Trained Using AutoNLP
  
  - Problem type: Single Column Regression
  - Model ID: 24595546
  - CO2 Emissions (in grams): 210.5957437893554
  
  ## Validation Metrics
  
  - Loss: 0.3092539310455322
  - MSE: 0.30925390124320984
  - MAE: 0.25015318393707275
  - R2: 0.841926941198094
  - RMSE: 0.5561060309410095
  - Explained Variance: 0.8427215218544006
  
  ## 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/muhtasham/autonlp-Doctor_DE-24595546
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForSequenceClassification, AutoTokenizer
  
  model = AutoModelForSequenceClassification.from_pretrained("muhtasham/autonlp-Doctor_DE-24595546", use_auth_token=True)
  
  tokenizer = AutoTokenizer.from_pretrained("muhtasham/autonlp-Doctor_DE-24595546", use_auth_token=True)
  
  inputs = tokenizer("I love AutoNLP", return_tensors="pt")
  
  outputs = model(**inputs)
  ```