e5 base v2 embedding model from intfloat
embedding
81 Pulls Updated 2 months ago
Updated 2 months ago
2 months ago
f89382286b7c · 219MB
model
archbert
·
parameters109M
·
quantizationF16
219MB
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-e5-base-v2"
}'
Where model
can also include the tag as necessary (such as jeffh/intfloat-e5-base-v2:f16
)
Sizes
The following models quantizations are available:
- f32
- f16
- q8_0
Model Notes
You should prefix your text with query:
or passage:
for queries and document indexing.