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Using bge-m3 for clustering and search

#33 opened 8 months ago by

talavivi

Will the component models be available separately?

#31 opened 8 months ago by

libryo-ai

Reranker

#30 opened 8 months ago by

Totole

list of languages supported

#29 opened 8 months ago by

andrew123456789

convert token to the original form

#28 opened 8 months ago by

DAIEF

m3需要和base做merge吗

#27 opened 8 months ago by

biaodiluer

Which matrix did you use for Benchmarks from the open-source community

#26 opened 8 months ago by

DAIEF

支持langchain使用bge-m3模型吗？

#25 opened 8 months ago by

Nicole828

This models is also best for Finnish in my comparison

#24 opened 8 months ago by

RASMUS

Code and some results for comparing with other embedding models on multilingual data

#23 opened 8 months ago by

Yannael

入参之间会影响embedding的结果吗

#22 opened 8 months ago by

biaodiluer

关于多阶段训练

#21 opened 8 months ago by

xxxcliu

bge-M3和baai_general_embedding是什么关系

#20 opened 8 months ago by

biaodiluer

How many GPU's are required to fine tuning bge-m3 over 1 million tripplets ?

#18 opened 8 months ago by

wilfoderek

How do you suggest using Colbert vectors ?

#16 opened 9 months ago by

EquinoxElahin

may be little bugs

#14 opened 9 months ago by

prudant

serving the model

#13 opened 9 months ago by

prudant

Datasets

#11 opened 9 months ago by

AbdelkerimDassi

Issue while finetuning embedding model because of use_reentrant = True

#10 opened 9 months ago by

DamianS89

Optimize inference speed

#9 opened 9 months ago by

CoolWP

OOM occurs in the process of converting the model to torchscript. I have a question about this issue.

#8 opened 9 months ago by

LeeJungHoon

Add benchmark to MTEB

#7 opened 9 months ago by

sam-gab

base model

#6 opened 9 months ago by

ambivalent02

It is now working colab..

#5 opened 9 months ago by

LeeJungHoon

中文Dense retrieval性能与BGE V1.5相比如何？

#3 opened 9 months ago by

TianyuLLM

OOMS on 8 GB GPU, is it normal?

#2 opened 9 months ago by

tanimazsin130