fix: typo in word semantic fixed (#3)

- fix: typo in word semantic fixed (416c9c7f62dc9a36c4c8f896a55360d0b4ce0080)


Co-authored-by: Sergey Valyushitskiy <valyushitskiy@users.noreply.huggingface.co>

README.md

@@ -11,7 +11,7 @@ pipeline_tag: sentence-similarity
 
 # sentence-transformers/gtr-t5-base
 
-This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space. The model was specifically trained for the task of sematic search.
+This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space. The model was specifically trained for the task of semantic search.
 
 This model was converted from the Tensorflow model [gtr-base-1](https://tfhub.dev/google/gtr/gtr-base/1) to PyTorch. When using this model, have a look at the publication: [Large Dual Encoders Are Generalizable Retrievers](https://arxiv.org/abs/2112.07899). The tfhub model and this PyTorch model can produce slightly different embeddings, however, when run on the same benchmarks, they produce identical results.