readme: ---
  license: mit
  language:
  - id
  pipeline_tag: fill-mask
  widget:
    - text: Adik sedang <mask> sepak bola di lapangan.
  ---
  
  # Model Descripstion
  FEEL-IN is a state-of-the-art language model for Indonesian based on the RoBERTa model. The pre-trained model is trained using a masked language modeling (MLM) objective.
  
  # How to Use
  You can use this model directly with a pipeline for masked language modeling:
  ```python
  from transformers import pipeline
  unmasker = pipeline('fill-mask', model='ksnugroho/feelin-base-uncased')
  unmasker("Adik sedang <mask> sepak bola <mask> lapangan")
  ```
  
  Load tokenizer:
  ```python
  from transformers import RobertaTokenizer
  tokenizer = RobertaTokenizer.from_pretrained('ksnugroho/feelin-base-uncased')
  ```
  
  Load model in PyTorch:
  ```python
  from transformers import RobertaModel
  model = RobertaModel.from_pretrained('ksnugroho/feelin-base-uncased')
  ```
  
  and in TensorFlow:
  ```python
  from transformers import TFRobertaModel
  model = TFRobertaModel.from_pretrained('ksnugroho/feelin-base-uncased')
  ```
  tested with transformers==4.25.1
  
  # Authors
  FEEL-IN was trained and evaluated by Kuncahyo Setyo Nugroho, Fitra Abdurrachman Bachtiar, Wayan Firdaus Mahmudy<br>
  Intelligent Systems Lab, Faculty of Computer Science, Brawijaya University, Indonesia