readme: ---
  language: unk
  datasets:
  - anwesham/autotrain-data-imdb-sentiment-analysis
  ---
  
  ## Description
  - Problem type: Binary Classification
  
  ## Validation Metrics
  - Loss: 0.17481304705142975
  - Accuracy: 0.936
  - Precision: 0.9526578073089701
  - Recall: 0.9176
  - AUC: 0.9841454399999999
  - F1: 0.93480032599837
  
  ## 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/anwesham/autotrain-imdb-sentiment-analysis-864927555
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForSequenceClassification, AutoTokenizer
  
  model = AutoModelForSequenceClassification.from_pretrained("anwesham/autotrain-imdb-sentiment-analysis-864927555", use_auth_token=True)
  
  tokenizer = AutoTokenizer.from_pretrained("anwesham/autotrain-imdb-sentiment-analysis-864927555", use_auth_token=True)
  
  inputs = tokenizer("I love to eat good food and watch Moana.", return_tensors="pt")
  
  outputs = model(**inputs)
  ```