readme: ---
  tags: [autotrain]
  language: de
  widget:
  - text: "I love AutoTrain 🤗"
  datasets:
  - Vmuaddib/autotrain-data-gudel-department-classifier-clean
  co2_eq_emissions: 14.294320632050567
  ---
  
  # Model Trained Using AutoTrain
  
  - Problem type: Binary Classification
  - Model ID: 886428460
  - CO2 Emissions (in grams): 14.294320632050567
  
  ## Validation Metrics
  
  - Loss: 0.051413487643003464
  - Accuracy: 0.9894490035169988
  - Precision: 1.0
  - Recall: 0.9862174578866769
  - AUC: 0.9989318529862175
  - F1: 0.9930609097918273
  
  ## 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/Vmuaddib/autotrain-gudel-department-classifier-clean-886428460
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForSequenceClassification, AutoTokenizer
  
  model = AutoModelForSequenceClassification.from_pretrained("Vmuaddib/autotrain-gudel-department-classifier-clean-886428460", use_auth_token=True)
  
  tokenizer = AutoTokenizer.from_pretrained("Vmuaddib/autotrain-gudel-department-classifier-clean-886428460", use_auth_token=True)
  
  inputs = tokenizer("I love AutoTrain", return_tensors="pt")
  
  outputs = model(**inputs)
  ```