From 4d0b7bb8e16b51d450da174559171abcdcce0a31 Mon Sep 17 00:00:00 2001 From: Julien Salinas Date: Tue, 22 Aug 2023 09:28:22 +0200 Subject: [PATCH] Remove Dolphin and GPT-J from the embeddings docs. These models are not proposed anymore. --- .../integrations/text_embedding/nlp_cloud.ipynb | 17 +++++++++-------- 1 file changed, 9 insertions(+), 8 deletions(-) diff --git a/docs/extras/integrations/text_embedding/nlp_cloud.ipynb b/docs/extras/integrations/text_embedding/nlp_cloud.ipynb index 6cf97d943a7..73ae71fe0f1 100644 --- a/docs/extras/integrations/text_embedding/nlp_cloud.ipynb +++ b/docs/extras/integrations/text_embedding/nlp_cloud.ipynb @@ -9,13 +9,9 @@ "\n", "NLP Cloud is an artificial intelligence platform that allows you to use the most advanced AI engines, and even train your own engines with your own data. \n", "\n", - "The [embeddings](https://docs.nlpcloud.com/#embeddings) endpoint offers several models:\n", + "The [embeddings](https://docs.nlpcloud.com/#embeddings) endpoint offers the following model:\n", "\n", - "* `paraphrase-multilingual-mpnet-base-v2`: Paraphrase Multilingual MPNet Base V2 is a very fast model based on Sentence Transformers that is perfectly suited for embeddings extraction in more than 50 languages (see the full list here).\n", - "\n", - "* `gpt-j`: GPT-J returns advanced embeddings. It might return better results than Sentence Transformers based models (see above) but it is also much slower.\n", - "\n", - "* `dolphin`: Dolphin returns advanced embeddings. It might return better results than Sentence Transformers based models (see above) but it is also much slower. It natively understands the following languages: Bulgarian, Catalan, Chinese, Croatian, Czech, Danish, Dutch, English, French, German, Hungarian, Italian, Japanese, Polish, Portuguese, Romanian, Russian, Serbian, Slovenian, Spanish, Swedish, and Ukrainian." + "* `paraphrase-multilingual-mpnet-base-v2`: Paraphrase Multilingual MPNet Base V2 is a very fast model based on Sentence Transformers that is perfectly suited for embeddings extraction in more than 50 languages (see the full list here)." ] }, { @@ -84,7 +80,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "Python 3.11.2 64-bit", "language": "python", "name": "python3" }, @@ -98,7 +94,12 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.16" + "version": "3.11.2" + }, + "vscode": { + "interpreter": { + "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6" + } } }, "nbformat": 4,