readme: ---
  tags: autonlp
  language: es
  widget:
  - text: "I love AutoNLP 🤗"
  datasets:
  - gagandeepkundi/autonlp-data-text-classification
  co2_eq_emissions: 20.790169878009916
  ---
  
  # Model Trained Using AutoNLP
  
  - Problem type: Binary Classification
  - Model ID: 19984005
  - CO2 Emissions (in grams): 20.790169878009916
  
  ## Validation Metrics
  
  - Loss: 0.06693269312381744
  - Accuracy: 0.9789
  - Precision: 0.9843244336569579
  - Recall: 0.9733
  - AUC: 0.99695552
  - F1: 0.9787811745776348
  
  ## 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/gagandeepkundi/autonlp-text-classification-19984005
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForSequenceClassification, AutoTokenizer
  
  model = AutoModelForSequenceClassification.from_pretrained("gagandeepkundi/autonlp-text-classification-19984005", use_auth_token=True)
  
  tokenizer = AutoTokenizer.from_pretrained("gagandeepkundi/autonlp-text-classification-19984005", use_auth_token=True)
  
  inputs = tokenizer("I love AutoNLP", return_tensors="pt")
  
  outputs = model(**inputs)
  ```