readme: ---
  language: id
  tags:
    - roberta-base-indonesia
  license: mit
  datasets:
    - wikipedia
  widget:
    - text: "Gajah <mask> sedang makan di kebun binatang."
  ---
  
  # Indonesian RoBERTa Base
  ## How to Use
  
  ### As Masked Language Model
  ```python
  from transformers import pipeline
  
  pretrained_name = "akahana/roberta-base-indonesia"
  
  fill_mask = pipeline(
      "fill-mask",
      model=pretrained_name,
      tokenizer=pretrained_name
  )
  
  fill_mask("Gajah <mask> sedang makan di kebun binatang.")
  ```
  
  ### Feature Extraction in PyTorch
  ```python
  from transformers import RobertaModel, RobertaTokenizerFast
  
  pretrained_name = "akahana/roberta-base-indonesia"
  model = RobertaModel.from_pretrained(pretrained_name)
  tokenizer = RobertaTokenizerFast.from_pretrained(pretrained_name)
  
  prompt = "Gajah <mask> sedang makan di kebun binatang."
  encoded_input = tokenizer(prompt, return_tensors='pt')
  output = model(**encoded_input)
  ```