Add new SentenceTransformer model

README.md

@@ -130,8 +130,8 @@ You can finetune this model on your own dataset.
 * Samples:
   | sentence_0                                                                                                            | sentence_1                                                                                                            | label            |
   |:----------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------|:-----------------|
+  | <code>Software engineer skilled in Java, Spring, and backend services; limited ML experience.</code>                  | <code>We need a Data Scientist skilled in Python, pandas, scikit-learn to build ML pipelines and analyze data.</code> | <code>0.1</code> |
   | <code>NLP engineer experienced in transformers, Hugging Face, and fine-tuning language models.</code>                 | <code>Seeking an NLP Engineer with experience fine-tuning transformers and using Hugging Face.</code>                 | <code>1.0</code> |
-  | <code>NLP engineer experienced in transformers, Hugging Face, and fine-tuning language models.</code>                 | <code>We need a Data Scientist skilled in Python, pandas, scikit-learn to build ML pipelines and analyze data.</code> | <code>0.3</code> |
   | <code>Experienced Python developer with 3 years in data analysis, pandas and scikit-learn, built ML pipelines.</code> | <code>We need a Data Scientist skilled in Python, pandas, scikit-learn to build ML pipelines and analyze data.</code> | <code>1.0</code> |
 * Loss: [<code>CosineSimilarityLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cosinesimilarityloss) with these parameters:
   ```json

model.safetensors

@@ -1,3 +1,3 @@
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