readme: ---
  language: es
  license: apache-2.0
  datasets:
  - wikipedia
  widget:
  - text: "Mi nombre es Juan y vivo en [MASK]."
  ---
  
  # DistilBERT base multilingual model Spanish subset (cased)
  
  This model is the Spanish extract of `distilbert-base-multilingual-cased` (https://huggingface.co/distilbert-base-multilingual-cased), a distilled version of the [BERT base multilingual model](bert-base-multilingual-cased). This model is cased: it does make a difference between english and English.
  
  It uses the extraction method proposed by Geotrend described in https://github.com/Geotrend-research/smaller-transformers. 
  
  The resulting model has the same architecture as DistilmBERT: 6 layers, 768 dimension and 12 heads, with a total of **63M parameters** (compared to 134M parameters for DistilmBERT).
  
  The goal of this model is to reduce even further the size of the `distilbert-base-multilingual` multilingual model by selecting only most frequent tokens for Spanish, reducing the size of the embedding layer. For more details visit the paper from the Geotrend team: Load What You Need: Smaller Versions of Multilingual BERT.