readme: ---
  language:
  - pt
  ---
  
  ``` python
  
  from transformers import ElectraForPreTraining, ElectraTokenizerFast
  import torch
  
  discriminator = ElectraForPreTraining.from_pretrained("josu/electra-pt-br-small-discriminator")
  tokenizer = ElectraTokenizerFast.from_pretrained("josu/electra-pt-br-small-discriminator")
  
  sentence = "os passaros estão cantando"
  fake_sentence = "os passaros estão falando"
  
  fake_tokens = tokenizer.tokenize(fake_sentence)
  fake_inputs = tokenizer.encode(fake_sentence, return_tensors="pt")
  discriminator_outputs = discriminator(fake_inputs)
  predictions = torch.round((torch.sign(discriminator_outputs[0]) + 1) / 2)
  
  [print("%7s" % token, end="") for token in fake_tokens]
  
  [print("%7s" % int(prediction), end="") for prediction in predictions.squeeze().tolist()
  
  ```