Update README.md

README.md

@@ -98,8 +98,8 @@ model-index:
 # Halong Embedding
 
 Halong Embedding is a Vietnamese text embedding focused on RAG and production efficiency:
-📚 Trained on a in house dataset consist of approximately 100,000 examples of question and related documents
-🪆 Trained with a Matryoshka loss, allowing you to truncate embeddings with minimal performance loss: smaller embeddings are faster to compare.
+- 📚 Trained on a in house dataset consist of approximately 100,000 examples of question and related documents
+- 🪆 Trained with a Matryoshka loss, allowing you to truncate embeddings with minimal performance loss: smaller embeddings are faster to compare.
 
 This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [intfloat/multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base). It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.