readme: ---
  tags: autotrain
  language: en
  widget:
  - text: "I love AutoTrain 🤗"
  datasets:
  - cjbarrie/autotrain-data-traintest-sentiment-split
  co2_eq_emissions: 2.288443953210163
  ---
  
  # Model Trained Using AutoTrain
  
  - Problem type: Binary Classification
  - Model ID: 1024534822
  - CO2 Emissions (in grams): 2.288443953210163
  
  ## Validation Metrics
  
  - Loss: 0.5510443449020386
  - Accuracy: 0.7619047619047619
  - Precision: 0.6761363636363636
  - Recall: 0.7345679012345679
  - AUC: 0.7936883912336109
  - F1: 0.7041420118343196
  
  ## 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/cjbarrie/autotrain-traintest-sentiment-split-1024534822
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForSequenceClassification, AutoTokenizer
  
  model = AutoModelForSequenceClassification.from_pretrained("cjbarrie/autotrain-traintest-sentiment-split-1024534822", use_auth_token=True)
  
  tokenizer = AutoTokenizer.from_pretrained("cjbarrie/autotrain-traintest-sentiment-split-1024534822", use_auth_token=True)
  
  inputs = tokenizer("I love AutoTrain", return_tensors="pt")
  
  outputs = model(**inputs)
  ```