berger, Johannes
> and Gurevych, Iryna",
>       booktitle = "Proceedings of the 2021 Conference of the North American
> Chapter of the Association for Computational Linguistics: Human Language
> Technologies",
>       month = jun,
>       year = "2021",
>       address = "Online",
>       publisher = "Association for Computational Linguistics",
>       url = "https://www.aclweb.org/anthology/2021.naacl-main.28",
>       pages = "296--310",
>     }
>  

Overview

  * [ Installation ](docs/installation.html)
    * [ Install SentenceTransformers ](docs/installation.html#install-sentencetransformers)
    * [ Install PyTorch with CUDA support ](docs/installation.html#install-pytorch-with-cuda-support)
  * [ Quickstart ](docs/quickstart.html)
    * [ Comparing Sentence Similarities ](docs/quickstart.html#comparing-sentence-similarities)
    * [ Pre-Trained Models ](docs/quickstart.html#pre-trained-models)
    * [ Training your own Embeddings ](docs/quickstart.html#training-your-own-embeddings)
  * [ Pretrained Models ](docs/pretrained_models.html)
    * [ Model Overview ](docs/pretrained_models.html#model-overview)
    * [ Semantic Search ](docs/pretrained_models.html#semantic-search)
    * [ Multi-Lingual Models ](docs/pretrained_models.html#multi-lingual-models)
    * [ Image & Text-Models ](docs/pretrained_models.html#image-text-models)
    * [ Other Models ](docs/pretrained_models.html#other-models)
  * [ Pretrained Cross-Encoders ](docs/pretrained_cross-encoders.html)
    * [ MS MARCO ](docs/pretrained_cross-encoders.html#ms-marco)
    * [ SQuAD (QNLI) ](docs/pretrained_cross-encoders.html#squad-qnli)
    * [ STSbenchmark ](docs/pretrained_cross-encoders.html#stsbenchmark)
    * [ Quora Duplicate Questions ](docs/pretrained_cross-encoders.html#quora-duplicate-questions)
    * [ NLI ](docs/pretrained_cross-encoders.html#nli)
  * [ Publications ](docs/publications.html)
  * [ Hugging Face ð¤ ](docs/hugging_face.html)
    * [ The Hugging Face Hub ](docs/hugging_face.html#the-hugging-face-hub)
    * [ Using Hugging Face models ](docs/hugging_face.html#using-hugging-face-models)
    * [ Sharing your models ](docs/hugging_face.html#sharing-your-models)
    * [ Sharing your embeddings ](docs/hugging_face.html#sharing-your-embeddings)
    * [ Additional resources ](docs/hugging_face.html#additional-resources)

Usage

  * [ Computing Sentence Embeddings ](examples/applications/computing-embeddings/README.html)
    * [ Prompt Templates ](examples/applications/computing-embeddings/README.html#prompt-templates)
    * [ Input Sequence Length ](examples/applications/computing-embeddings/README.html#input-sequence-length)
    * [ Storing & Loading Embeddings ](examples/applications/computing-embeddings/README.html#storing-loading-embeddings)
    * [ Multi-Process / Multi-GPU Encoding ](examples/applications/computing-embeddings/README.html#multi-process-multi-gpu-encoding)
    * [ Sentence Embeddings with Transformers ](examples/applications/computing-embeddings/README.html#sentence-embeddings-with-transformers)
  * [ Semantic Textual Similarity ](docs/usage/semantic_textual_similarity.html)
  * [ Embedding Quantization ](examples/applications/embedding-quantization/README.html)
    * [ Binary Quantization ](examples/applications/embedding-quantization/README.html#binary-quantization)
    * [ Scalar (int8) Quantization ](examples/applications/embedding-quantization/README.html#scalar-int8-quantization)
    * [ Additional extensions ](examples/applications/embedding-quantization/README.html#additional-extensions)
    * [ Demo ](examples/applications/embedding-quantization/README.html#demo)
    * [ Try it yourself ](examples/applications/embedding-quantization/README.html#try-it-yourself)
  * [ Semantic Search ](examples/applications/semantic-search/README.html)
    * [ Background ](examples/applications/semantic-search/README.html#background)
    * [ Symmetric vs. Asymmetric Semantic Search ](examples/applications/semantic-search/README.htm