Update README.md

README.md

@@ -14,7 +14,7 @@ language:
 
 This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
 
-<!--- Describe your model here -->
+This is a model fine-tuned from thenlper/gte-small, aiming at providing meaning embeddings from free-text drug appearance description.
 
 ## Usage (Sentence-Transformers)
 
@@ -28,7 +28,7 @@ Then you can use the model like this:
 
 ```python
 from sentence_transformers import SentenceTransformer
-sentences = ["This is an example sentence", "Each sentence is converted"]
+sentences = ["A red shaped pill with '100mg' imprint on it"]
 
 model = SentenceTransformer('nps798/drug-appearance-similarity-embedding-embedding-thenlper-gte-small')
 embeddings = model.encode(sentences)