readme: ---
  tags: autotrain
  language: en
  widget:
  - text: "I love AutoTrain 🤗"
  datasets:
  - deepesh0x/autotrain-data-GlueModels
  co2_eq_emissions: 60.24263131580023
  ---
  
  # Model Trained Using AutoTrain
  
  - Problem type: Binary Classification
  - Model ID: 1010733562
  - CO2 Emissions (in grams): 60.24263131580023
  
  ## Validation Metrics
  
  - Loss: 0.1812974065542221
  - Accuracy: 0.9252564102564103
  - Precision: 0.9409888357256778
  - Recall: 0.9074596257369905
  - AUC: 0.9809618001947271
  - F1: 0.923920135717082
  
  ## 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/deepesh0x/autotrain-GlueModels-1010733562
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForSequenceClassification, AutoTokenizer
  
  model = AutoModelForSequenceClassification.from_pretrained("deepesh0x/autotrain-GlueModels-1010733562", use_auth_token=True)
  
  tokenizer = AutoTokenizer.from_pretrained("deepesh0x/autotrain-GlueModels-1010733562", use_auth_token=True)
  
  inputs = tokenizer("I love AutoTrain", return_tensors="pt")
  
  outputs = model(**inputs)
  ```