multilingual e5 large embedding model from intfloat
embedding
859 Pulls Updated 2 months ago
Updated 2 months ago
2 months ago
02235d702f11 · 2.2GB
model
archbert
·
parameters559M
·
quantizationF32
2.2GB
license
MIT LICENSE
Permission is hereby granted, free of charge, to any person obtaining a copy of this so
1.0kB
Readme
Usage
After you pull the image, you can simply use the openai compatible embedding endpoint:
curl -vvvv -H 'Content-Type: application/json' "http://localhost:11434/v1/embeddings" -d '{
"input": ["passage: my text 1", "passage: my text 2"],
"model": "jeffh/intfloat-multilingual-e5-large"
}'
Where model
can also include the tag as necessary (such as jeffh/intfloat-multilingual-e5-large:f16
)
Model Notes
You should prefix your text with query:
or passage:
for queries and document indexing.