ClassCat's picture
Update README.md
1b6e14b
|
raw
history blame
872 Bytes
metadata
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 (Catalan Wikipedia)
  • Subset of CC-100/ca : Monolingual Datasets from Web Crawl Data

Usage

from transformers import pipeline

unmasker = pipeline('fill-mask', model='ClassCat/roberta-base-catalan')
unmasker("Jo <mask> japonès.")