readme: ---
  tags: autonlp
  language: en
  widget:
  - text: "I love AutoNLP 🤗"
  datasets:
  - Aimendo/autonlp-data-triage
  co2_eq_emissions: 7.989144645413398
  ---
  
  # Model Trained Using AutoNLP
  
  - Problem type: Multi-class Classification
  - Model ID: 35248482
  - CO2 Emissions (in grams): 7.989144645413398
  
  ## Validation Metrics
  
  - Loss: 0.13783401250839233
  - Accuracy: 0.9728654124457308
  - Macro F1: 0.949537871674076
  - Micro F1: 0.9728654124457308
  - Weighted F1: 0.9732422812610365
  - Macro Precision: 0.9380372699332605
  - Micro Precision: 0.9728654124457308
  - Weighted Precision: 0.974548513256663
  - Macro Recall: 0.9689346153591594
  - Micro Recall: 0.9728654124457308
  - Weighted Recall: 0.9728654124457308
  
  
  ## 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/Aimendo/autonlp-triage-35248482
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForSequenceClassification, AutoTokenizer
  
  model = AutoModelForSequenceClassification.from_pretrained("Aimendo/autonlp-triage-35248482", use_auth_token=True)
  
  tokenizer = AutoTokenizer.from_pretrained("Aimendo/autonlp-triage-35248482", use_auth_token=True)
  
  inputs = tokenizer("I love AutoNLP", return_tensors="pt")
  
  outputs = model(**inputs)
  ```