Update README.md

README.md

@@ -2617,7 +2617,7 @@ pipeline_tag: feature-extraction
 
 # mxbai-embed-large-v1
 
-Here, we provide several ways to produce sentence embeddings. Please note that you have to provide the prompt `Represent this sentence for searching relevant passages:` for query if you want to use it for retrieval. Besides that you don't need any prompt. Our model also supports Matryoshka Representation Learning and binary or int8 quantization. [Learn More](https://www.mixedbread.ai/blog/binary-mrl)
+Here, we provide several ways to produce sentence embeddings. Please note that you have to provide the prompt `Represent this sentence for searching relevant passages:` for query if you want to use it for retrieval. Besides that you don't need any prompt. Our model also supports [Matryoshka Representation Learning and binary quantization](https://www.mixedbread.ai/blog/binary-mrl)
 
 ## Quickstart
 
@@ -2633,7 +2633,7 @@ python -m pip install -U sentence-transformers
 from sentence_transformers import SentenceTransformer
 from sentence_transformers.util import cos_sim, quantize_embeddings
 
-# 1. Specify preffered dimensions (default is 1024)
+# 1. Specify preffered dimensions
 dimensions = 512
 
 # 2. load model