Update README.md

README.md

@@ -16,23 +16,14 @@ tags:
 widget:
 - source_sentence: "This is a sample source sentence."  # Ensure this is not empty
   target_sentence: "This is a sample target sentence."  # Ensure this is not empty
-  
+---
    
 
 # SentenceTransformer based on microsoft/mpnet-base
 
 This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [microsoft/mpnet-base](https://huggingface.co/microsoft/mpnet-base) on the [reranking_1](https://huggingface.co/datasets/mteb/askubuntudupquestions-reranking), [retrival_1](https://huggingface.co/datasets/mteb/arguana) and [sts_1](https://huggingface.co/datasets/mteb/biosses-sts) datasets. 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.
 
-## Model Details
 
-### Model Description
-- **Model Type:** Sentence Transformer
-- **Base model:** [microsoft/mpnet-base](https://huggingface.co/microsoft/mpnet-base) <!-- at revision 6996ce1e91bd2a9c7d7f61daec37463394f73f09 -->
-- **Maximum Sequence Length:** 512 tokens
-- **Output Dimensionality:** 768 tokens
-- **Similarity Function:** Cosine Similarity
-- **Language:** en
-<!-- - **License:** Unknown -->
 
 ### Model Sources
 
@@ -72,12 +63,4 @@ print(embeddings.shape)
 similarities = model.similarity(embeddings, embeddings)
 print(similarities.shape)
 # [3, 3]
-```
-
-<!--
-### Direct Usage (Transformers)
-
-<details><summary>Click to see the direct usage in Transformers</summary>
-
-</details>
--->
+```