readme: ---
  tags: autonlp
  language: en
  widget:
  - text: "I love AutoNLP 🤗"
  datasets:
  - lucianpopa/autonlp-data-SST2
  co2_eq_emissions: 8.883161797287569
  ---
  
  # Model Trained Using AutoNLP
  
  - Problem type: Binary Classification
  - Model ID: 551215591
  - CO2 Emissions (in grams): 8.883161797287569
  
  ## Validation Metrics
  
  - Loss: 0.08821876347064972
  - Accuracy: 0.969531605275125
  - Precision: 0.9734313841774404
  - Recall: 0.9710127780407004
  - AUC: 0.9949152422763072
  - F1: 0.9722205769116863
  
  ## 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/lucianpopa/autonlp-SST2-551215591
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForSequenceClassification, AutoTokenizer
  
  model = AutoModelForSequenceClassification.from_pretrained("lucianpopa/autonlp-SST2-551215591", use_auth_token=True)
  
  tokenizer = AutoTokenizer.from_pretrained("lucianpopa/autonlp-SST2-551215591", use_auth_token=True)
  
  inputs = tokenizer("I love AutoNLP", return_tensors="pt")
  
  outputs = model(**inputs)
  ```