From 8eeb249ee9cc1c16f51a1bafcd7817168c080aa9 Mon Sep 17 00:00:00 2001 From: Elmira Ghorbani Date: Fri, 23 Feb 2024 23:13:31 +0330 Subject: [PATCH] Update Search_reranking_with_cross-encoders.ipynb (#1060) --- examples/Search_reranking_with_cross-encoders.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/Search_reranking_with_cross-encoders.ipynb b/examples/Search_reranking_with_cross-encoders.ipynb index f2d070a..0fa0db7 100644 --- a/examples/Search_reranking_with_cross-encoders.ipynb +++ b/examples/Search_reranking_with_cross-encoders.ipynb @@ -787,7 +787,7 @@ "\n", "There is also a latency impact of using ```text-davinci-003``` that you'll need to consider, with even our few examples above taking a couple seconds each - again, the ```Fine-tuning``` endpoint may help you here if you are able to get decent results from an ```ada``` or ```babbage``` fine-tuned model.\n", "\n", - "We've used the ```Completions``` endpoint from OpenAI to build our cross-encoder, but this area is well-served by the open-source community. [Here](https://huggingface.co/cross-encoder/mmarco-mMiniLMv2-L12-H384-v1) is an example from HuggingFace, for example.\n", + "We've used the ```Completions``` endpoint from OpenAI to build our cross-encoder, but this area is well-served by the open-source community. [Here](https://huggingface.co/jeffwan/mmarco-mMiniLMv2-L12-H384-v1) is an example from HuggingFace, for example.\n", "\n", "We hope you find this useful for tuning your search use cases, and look forward to seeing what you build." ]