add patent similarity model in text

README.md

@@ -7,15 +7,24 @@ tags:
 - feature-extraction
 - sentence-similarity
 - transformers
+- patent
 datasets:
 - mpi-inno-comp/paecter_dataset
 license: apache-2.0
 ---
 
-# paecter
+# paecter - a Patent Similarity Model
+
+This model is a patent similarity model. 
+Built upon Google's BERT for Patents as its base model, it generates 1024-dimensional dense vector embeddings from patent text. 
+These vectors encapsulate the semantic essence of the given patent text, making it highly suitable for various downstream tasks related to patent analysis.
+
+## Applications
+* Semantic Search
+* Prior Art Search
+* Clustering
+* Patent Landscaping
 
-This is a [sentence-transformers](https://www.SBERT.net) model. This model is fine-tuned on patent texts, leveraging Google's BERT for Patents as its base.
-It can be used to generate 1024 dimensional dense vector for patent texts for downstream tasks like semantic search, prior art search, clustering, and patent landscaping.
 
 <!--- Describe your model here -->