readme: ---
  language: ca
  license: cc-by-sa-4.0
  datasets:
  - wikipedia
  - cc100
  widget:
  - text: "És molt <mask> per a mi."
  - text: "Vas jugar a <mask>."
  - text: "Ell està una mica <mask>."
  - text: "És un bon <mask>."
  - text: "M'agradaria menjar una <mask>."
  ---
  
  ## RoBERTa Catalan base model (Uncased)
  
  ### Prerequisites
  
  transformers==4.19.2
  
  ### Model architecture
  
  This model uses RoBERTa base setttings except vocabulary size.
  
  ### Tokenizer
  
  Using BPE tokenizer with vocabulary size 50,000.
  
  ### Training Data 
  
  * [wiki40b/ca](https://www.tensorflow.org/datasets/catalog/wiki40b#wiki40bca) (Catalan Wikipedia)
  * Subset of [CC-100/ca](https://data.statmt.org/cc-100/) : Monolingual Datasets from Web Crawl Data
  
  ### Usage
  
  ```python
  from transformers import pipeline
  
  unmasker = pipeline('fill-mask', model='ClassCat/roberta-base-catalan')
  unmasker("Jo <mask> japonès.")
  ```