# Model Card for Model arman-longformer-8k

<!-- Provide a quick summary of what the model is/does. -->
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.

converting code is available in [github repository](https://github.com/ZEDFUM/arman-to-longformer)



{"language": ["fa"], "pipeline_tag": "summarization"}
transformers pytorch pegasus text2text-generation summarization fa autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #pegasus #text2text-generation #summarization #fa #autotrain_compatible #endpoints_compatible #region-us 

# Model Card for Model arman-longformer-8k


This project use Longformer's attention mechanism to 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.

converting code is available in github repository



# Model Card for Model arman-longformer-8k


This project use Longformer's attention mechanism to 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.

converting code is available in github repository
TAGS
#transformers #pytorch #pegasus #text2text-generation #summarization #fa #autotrain_compatible #endpoints_compatible #region-us 
 # Model Card for Model arman-longformer-8k


This project use Longformer's attention mechanism to 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.

converting code is available in github repository