ccdv
/

lsg-bart-base-4096-wcep

Summarization Transformers PyTorch

English bart text2text-generation custom_code

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ccdv commited on May 25, 2022

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@@ -60,7 +60,7 @@ The model relies on Local-Sparse-Global attention to handle long sequences:
 ![attn](attn.png)
 The model has about ~145 millions parameters (6 encoder layers - 6 decoder layers). \
-The model is warm started from BART-base, converted to handle long sequences (encoder only) and fine tuned. \
 ## Intended uses & limitations

 ![attn](attn.png)
 The model has about ~145 millions parameters (6 encoder layers - 6 decoder layers). \
+The model is warm started from BART-base, converted to handle long sequences (encoder only) and fine tuned.
 ## Intended uses & limitations

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