Update README.md

README.md

@@ -1,3 +1,23 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+---
+# Universal Sentence Encoder
+
+This model is a full precision version of the original [universal-sentence-encoder](https://tfhub.dev/google/universal-sentence-encoder/4),
+wrapped by input and output reshaping layers.
+
+These wrapping processing layers change the input and output signature from Rank-1 (Lists) to Rank-2 (Matrices),
+making the model compatible with the serving environments of the Actian Analytics Engine that requires a feature dimension of Rank-2 or higher.
+
+## Description adapted from [TFHub](https://tfhub.dev/google/universal-sentence-encoder/4)
+
+The Universal Sentence Encoder encodes text into high dimensional vectors that can be used for text classification, semantic similarity,
+clustering and other natural language tasks.
+
+The model is trained and optimized for greater-than-word length text, such as sentences, phrases or short paragraphs.
+It is trained on a variety of data sources and a variety of tasks with the aim of dynamically accommodating a wide variety of natural language understanding tasks.
+The input is column of English strings and the output is a column of 512 dimensional vectors.
+
+## Requirements
+
+- Actian Analytics Engine: 8.0