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---
language: ca
license: cc-by-sa-4.0
datasets:
- wikipedia
- cc100
widget:
- text: "Jo <mask> japonès."
- text: "Jo sóc <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.")
``` |