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---
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license: apache-2.0
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---
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HF-version model for PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization (ACL 2022).
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The original code can be found [here](https://github.com/allenai/PRIMER). You can find the script and notebook to train/evaluate the model in the original github repo.
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* Note: due to the difference between the implementations of the original Longformer and the Huggingface LED model, the results of converted models are slightly different. We run a sanity check on both fine-tuned and non fine-tuned models on the **Multinews dataset**, and show the results below:
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| Model | Rouge-1 | Rouge-2 | Rouge-L |
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| --- | ----------- |----------- |----------- |
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| PRIMERA | 42.0 | 13.6 | 20.8|
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| PRIMERA-hf | 41.7 |13.6 | 20.5|
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| PRIMERA(finetuned) | 49.9 | 21.1 | 25.9|
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| PRIMERA-hf(finetuned) | 49.9 | 20.9 | 25.8|
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You can use it by
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```
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from transformers import (
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AutoTokenizer,
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LEDConfig,
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LEDForConditionalGeneration,
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)
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tokenizer = AutoTokenizer.from_pretrained('allenai/PRIMERA')
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config=LEDConfig.from_pretrained('allenai/PRIMERA')
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model = LEDForConditionalGeneration.from_pretrained('allenai/PRIMERA')
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``` |
