readme: ---
  tags: autonlp
  language: unk
  widget:
  - text: "I love AutoNLP 🤗"
  datasets:
  - sam890914/autonlp-data-roberta-large2
  co2_eq_emissions: 71.60954851696604
  ---
  
  # Model Trained Using AutoNLP
  
  - Problem type: Binary Classification
  - Model ID: 479012819
  - CO2 Emissions (in grams): 71.60954851696604
  
  ## Validation Metrics
  
  - Loss: 0.22774338722229004
  - Accuracy: 0.9395126938149599
  - Precision: 0.9677075940383251
  - Recall: 0.9117352056168505
  - AUC: 0.9862377263827619
  - F1: 0.9388879325185058
  
  ## 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/sam890914/autonlp-roberta-large2-479012819
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForSequenceClassification, AutoTokenizer
  
  model = AutoModelForSequenceClassification.from_pretrained("sam890914/autonlp-roberta-large2-479012819", use_auth_token=True)
  
  tokenizer = AutoTokenizer.from_pretrained("sam890914/autonlp-roberta-large2-479012819", use_auth_token=True)
  
  inputs = tokenizer("I love AutoNLP", return_tensors="pt")
  
  outputs = model(**inputs)
  ```