T-Systems-onsite
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cross-en-de-roberta-sentence-transformer

Feature Extraction

sentence_embedding

xlm-r-distilroberta-base-paraphrase-v1

text-embeddings-inference

Inference Endpoints

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Philip May commited on Apr 18, 2021

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@@ -27,7 +27,7 @@ The speciality of this model is that it also works cross-lingually. Regardless o
 Source: [Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks](https://arxiv.org/abs/1908.10084)
-This model is fine-tuned from [Philip May](https://eniak.de/) and open-sourced by [T-Systems-onsite](https://www.t-systems-onsite.de/). Special thanks to [Nils Reimers](https://www.nils-reimers.de/) for your awesome open-source work, the Sentence Transformers, the models and your help on GitHub.
 ## How to use
 **The usage description above - provided by Hugging Face - is wrong for sentence embeddings! Please use this:**

 Source: [Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks](https://arxiv.org/abs/1908.10084)
+This model is fine-tuned from [Philip May](https://may.la/) and open-sourced by [T-Systems-onsite](https://www.t-systems-onsite.de/). Special thanks to [Nils Reimers](https://www.nils-reimers.de/) for your awesome open-source work, the Sentence Transformers, the models and your help on GitHub.
 ## How to use
 **The usage description above - provided by Hugging Face - is wrong for sentence embeddings! Please use this:**