readme: ---
  tags: autonlp
  language: en
  widget:
  - text: "this can wait"
  datasets:
  - clem/autonlp-data-test3
  ---
  
  # Model Trained Using AutoNLP
  
  - Problem type: Binary Classification Urgent/Not Urgent
  
  ## Validation Metrics
  
  - Loss: 0.08956164121627808
  - Accuracy: 1.0
  - Precision: 1.0
  - Recall: 1.0
  - AUC: 1.0
  - F1: 1.0
  
  ## 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/clem/autonlp-test3-2101787
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForSequenceClassification, AutoTokenizer
  
  model = AutoModelForSequenceClassification.from_pretrained("clem/autonlp-test3-2101787", use_auth_token=True)
  
  tokenizer = AutoTokenizer.from_pretrained("clem/autonlp-test3-2101787", use_auth_token=True)
  
  inputs = tokenizer("I love AutoNLP", return_tensors="pt")
  
  outputs = model(**inputs)
  ```