--- language: fr license: cc-by-sa-4.0 datasets: - wikipedia - cc100 widget: - text: "Je vais à la ." - text: "J'aime le ." - text: "J'ai ouvert la ." - text: "Je m'appelle ." - text: "J'ai beaucoup d'." --- ## RoBERTa French 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/fr](https://www.tensorflow.org/datasets/catalog/wiki40b#wiki40bfr) (French Wikipedia) * Subset of [CC-100/fr](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-french') unmasker("Je vais à la .") ```