apoorvumang
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kgt5-wikikg90mv2

Text2Text Generation

text-generation-inference

Inference Endpoints

Model card Files Files and versions Community

Apoorv Saxena commited on Mar 22, 2022

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1 Parent(s): 13c5f87

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@@ -8,7 +8,7 @@ widget:
 - text: "World War 2| followed by"
   example_title: "followed by"
 ---
-This is a t5-small model trained from scratch on WikiKG90Mv2 dataset. Please see https://github.com/apoorvumang/transformer-kgc/ for more details on the method.
 This model was trained on the tail entity prediction task ie. given subject entity and relation, predict the object entity. Input should be provided in the form of "\<entity text\>| \<relation text\>".

 - text: "World War 2| followed by"
   example_title: "followed by"
 ---
+This is a t5-small model trained from scratch on WikiKG90Mv2 dataset. Please see https://github.com/apoorvumang/kgt5/ for more details on the method.
 This model was trained on the tail entity prediction task ie. given subject entity and relation, predict the object entity. Input should be provided in the form of "\<entity text\>| \<relation text\>".