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<!-- Provide a quick summary of what the model is/does. -->
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This project use Longformer's attention mechanism to [alireza7/ARMAN-MSR-persian-base](https://huggingface.co/alireza7/ARMAN-MSR-persian-base) in order to perform abstractive summarization on long documents. so new model can accept 8K tokens (rather than 512 tokens).it should be fine-tuned for summarization tasks.
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<!-- Provide a quick summary of what the model is/does. -->
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This project use Longformer's attention mechanism to [alireza7/ARMAN-MSR-persian-base](https://huggingface.co/alireza7/ARMAN-MSR-persian-base) in order to perform abstractive summarization on long documents. so new model can accept 8K tokens (rather than 512 tokens).it should be fine-tuned for summarization tasks.
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converting code is available in [github repository](https://github.com/ZEDFUM/arman-to-longformer)
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