readme: ---
  tags: autonlp
  language: en
  widget:
  - text: "I love AutoNLP 🤗"
  datasets:
  - bshlgrs/autonlp-data-classification_with_all_labellers
  ---
  
  # Model Trained Using AutoNLP
  
  - Problem type: Multi-class Classification
  - Model ID: 9532137
  
  ## Validation Metrics
  
  - Loss: 0.34556105732917786
  - Accuracy: 0.8749890724713699
  - Macro F1: 0.5243623959669343
  - Micro F1: 0.8749890724713699
  - Weighted F1: 0.8638030768409057
  - Macro Precision: 0.5016762404900895
  - Micro Precision: 0.8749890724713699
  - Weighted Precision: 0.8547962562614184
  - Macro Recall: 0.5529674694200845
  - Micro Recall: 0.8749890724713699
  - Weighted Recall: 0.8749890724713699
  
  
  ## 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/bshlgrs/autonlp-classification_with_all_labellers-9532137
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForSequenceClassification, AutoTokenizer
  
  model = AutoModelForSequenceClassification.from_pretrained("bshlgrs/autonlp-classification_with_all_labellers-9532137", use_auth_token=True)
  
  tokenizer = AutoTokenizer.from_pretrained("bshlgrs/autonlp-classification_with_all_labellers-9532137", use_auth_token=True)
  
  inputs = tokenizer("I love AutoNLP", return_tensors="pt")
  
  outputs = model(**inputs)
  ```