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At the moment the project does not support embeddings based on XLMRobertaModel architecture. Could be very good to extend the support to those.
I believe that adding support could be great. Models like BAAI/bge-m3 are showing promising results against proprietary models like OpenAI, see here : https://towardsdatascience.com/openai-vs-open-source-multilingual-embedding-models-e5ccb7c90f05
Also, they support higher volume of tokens (bge--m3 for instance up to 8192 tokens).
No response
The text was updated successfully, but these errors were encountered:
#8658
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Closed as duplicate of #8658. (apologies, did not find it when searching..)
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Prerequisites
Feature Description
At the moment the project does not support embeddings based on XLMRobertaModel architecture.
Could be very good to extend the support to those.
Motivation
I believe that adding support could be great. Models like BAAI/bge-m3 are showing promising results against proprietary models like OpenAI, see here :
https://towardsdatascience.com/openai-vs-open-source-multilingual-embedding-models-e5ccb7c90f05
Also, they support higher volume of tokens (bge--m3 for instance up to 8192 tokens).
Possible Implementation
No response
The text was updated successfully, but these errors were encountered: