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mbart-large-cc25-cnn-dailymail-nl
ml6team/mbart-large-cc25-cnn-dailymail-nl
mbart-large-cc25-cnn-dailymail-nl is a summarization model from ml6team. Use it when you need a shorter version of a longer text. It is set up for transformers.
Finetuned version of mbart. We also wrote a blog post about this model here
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At a glance
- Task
- Summarization
- Library
- transformers
- Model type
- mbart
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- May 16, 2022
- SHA
- d04a79b7
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Datasets
Model card
From the Hugging Face model README
mbart-large-cc25-cnn-dailymail-nl
Model description
Finetuned version of mbart. We also wrote a blog post about this model here
Intended uses & limitations
It's meant for summarizing Dutch news articles.
How to use
import transformers
undisputed_best_model = transformers.MBartForConditionalGeneration.from_pretrained(
"ml6team/mbart-large-cc25-cnn-dailymail-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,
# num_beams=4,
min_length=50,
early_stopping=True,
truncation=True,
)[0]["summary_text"]
Training data
Finetuned mbart with this dataset
- Task
- Summarization
- Library
- transformers
- Type
- mbart
- Languages
- nl
- Created
- Mar 2, 2022
- Updated
- May 16, 2022