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README.md

@@ -1,28 +1,30 @@
----
-license: apache-2.0
----
+---
+language: en
+license: apache-2.0
+---
 
-HF-version model for PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization (ACL 2022). 
-
-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.
-
-* 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:
-
-| Model | Rouge-1 | Rouge-2 | Rouge-L |
-| --- | ----------- |----------- |----------- |
-| PRIMERA | 42.0 | 13.6 | 20.8| 
-| PRIMERA-hf | 41.7 |13.6 | 20.5|
-| PRIMERA(finetuned) | 49.9 | 21.1 | 25.9|
-| PRIMERA-hf(finetuned) | 49.9 | 20.9 | 25.8|
-
-You can use it by 
-```
-from transformers import (
-    AutoTokenizer,
-    LEDConfig,
-    LEDForConditionalGeneration,
-)
-tokenizer = AutoTokenizer.from_pretrained('allenai/PRIMERA')
-config=LEDConfig.from_pretrained('allenai/PRIMERA')
-model = LEDForConditionalGeneration.from_pretrained('allenai/PRIMERA')
-```
+
+HF-version model for PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization (ACL 2022). 
+
+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.
+
+* 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:
+
+| Model | Rouge-1 | Rouge-2 | Rouge-L |
+| --- | ----------- |----------- |----------- |
+| PRIMERA | 42.0 | 13.6 | 20.8| 
+| PRIMERA-hf | 41.7 |13.6 | 20.5|
+| PRIMERA(finetuned) | 49.9 | 21.1 | 25.9|
+| PRIMERA-hf(finetuned) | 49.9 | 20.9 | 25.8|
+
+You can use it by 
+```
+from transformers import (
+    AutoTokenizer,
+    LEDConfig,
+    LEDForConditionalGeneration,
+)
+tokenizer = AutoTokenizer.from_pretrained('allenai/PRIMERA')
+config=LEDConfig.from_pretrained('allenai/PRIMERA')
+model = LEDForConditionalGeneration.from_pretrained('allenai/PRIMERA')
+```