Typo fix

README.md

@@ -41,7 +41,7 @@ model-index:
 
 # SentenceTransformer based on Alibaba-NLP/gte-modernbert-base
 
-This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [Alibaba-NLP/gte-modernbert-base](https://huggingface.co/Alibaba-NLP/gte-modernbert-base) on the Quora csv dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity for the purpose of semantic caching.
+This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [Alibaba-NLP/gte-modernbert-base](https://huggingface.co/Alibaba-NLP/gte-modernbert-base) on the Medical dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity for the purpose of semantic caching in the medical domain.
 
 ## Model Details
 
@@ -84,7 +84,7 @@ Then you can load this model and run inference.
 from sentence_transformers import SentenceTransformer
 
 # Download from the 🤗 Hub
-model = SentenceTransformer("redis/langcache-embed-v1")
+model = SentenceTransformer("redis/langcache-embed-medical-v1")
 # Run inference
 sentences = [
     'Will the value of Indian rupee increase after the ban of 500 and 1000 rupee notes?',
@@ -126,7 +126,7 @@ print(similarities.shape)
 #### Medical
 
 * Dataset: Medical dataset
-* Size: 
+* Size:
 * Columns: <code>question_1</code>, <code>question_2</code>, and <code>label</code>
 
 ## Citation