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license: apache-2.0
tags:
- summarization
- arabic
- mbart
- bayan10
library_name: transformers
---
# Bayan Arabic Summarization Model
This repository contains the summarization checkpoint used by Bayan.
## Recommended generation settings
Use the following defaults for the best balance of faithfulness and brevity:
```python
summary = model.generate(
**inputs,
max_new_tokens=40,
num_beams=1,
do_sample=False,
early_stopping=False,
no_repeat_ngram_size=3,
repetition_penalty=1.1,
)
```
## Notes
- The checkpoint is optimized for Arabic news-style summarization.
- Beam search and sampling may increase hallucination on some inputs.
- If a summary drifts too far from the source, prefer a more extractive fallback.
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