Merge pull request #2309 from spro/patch-1

typo: similar -> similarity

index.rst

@@ -3,7 +3,7 @@ SentenceTransformers Documentation
 
 SentenceTransformers is a Python framework for state-of-the-art sentence, text and image embeddings. The initial work is described in our paper `Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks <https://arxiv.org/abs/1908.10084>`_.
 
-You can use this framework to compute sentence / text embeddings for more than 100 languages. These embeddings can then be compared e.g. with cosine-similarity to find sentences with a similar meaning. This can be useful for `semantic textual similar <docs/usage/semantic_textual_similarity.html>`_, `semantic search <examples/applications/semantic-search/README.html>`_, or `paraphrase mining <examples/applications/paraphrase-mining/README.html>`_.
+You can use this framework to compute sentence / text embeddings for more than 100 languages. These embeddings can then be compared e.g. with cosine-similarity to find sentences with a similar meaning. This can be useful for `semantic textual similarity <docs/usage/semantic_textual_similarity.html>`_, `semantic search <examples/applications/semantic-search/README.html>`_, or `paraphrase mining <examples/applications/paraphrase-mining/README.html>`_.
 
 The framework is based on `PyTorch <https://pytorch.org/>`_ and `Transformers <https://huggingface.co/transformers/>`_ and offers a large collection of `pre-trained models <docs/pretrained_models.html>`_ tuned for various tasks. Further, it is easy to `fine-tune your own models <docs/training/overview.html>`_.