---
language: 
- nl
tags:
- mbart
- bart
- summarization
datasets:
- ml6team/cnn_dailymail_nl
- ml6team/xsum_nl
---

# mbart-large-cc25-cnn-dailymail-xsum-nl

## Model description
Finetuned version of [mbart](https://huggingface.co/facebook/mbart-large-cc25). We also wrote a **blog post** about this model [here](https://blog.ml6.eu/why-we-open-sourced-two-dutch-summarization-datasets-1047445abc97)

## Intended uses & limitations
It's meant for summarizing Dutch news articles.

#### How to use

```python
import transformers

undisputed_best_model = transformers.MBartForConditionalGeneration.from_pretrained(
    "ml6team/mbart-large-cc25-cnn-dailymail-xsum-nl"
)
tokenizer = transformers.MBartTokenizer.from_pretrained("facebook/mbart-large-cc25")
summarization_pipeline = transformers.pipeline(
    task="summarization",
    model=undisputed_best_model,
    tokenizer=tokenizer,
)
summarization_pipeline.model.config.decoder_start_token_id = tokenizer.lang_code_to_id[
    "nl_XX"
]

article = "Kan je dit even samenvatten alsjeblief."  # Dutch
summarization_pipeline(
    article,
    do_sample=True,
    top_p=0.75,
    top_k=50,
    min_length=50,
    early_stopping=True,
    truncation=True,
)[0]["summary_text"]
```

## Training data
Finetuned [mbart](https://huggingface.co/facebook/mbart-large-cc25) with [this dataset](https://huggingface.co/datasets/ml6team/cnn_dailymail_nl) and [this dataset](https://huggingface.co/datasets/ml6team/xsum_nl)