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all-MiniLM-L6-v2

Embeddings
sentence-transformers/all-minilm-l6-v2

512 context · Mar 2022 · 1 upstreams

all-MiniLM-L6-v2 maps sentences and short paragraphs to 384-dimensional vectors for retrieval, clustering and semantic similarity. 512-token input.

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max input
512
dimensions
—
input / 1M (list)
$0.0050
routes
1

Upstreams

1
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Try it

Embed a sentence

Details

Owner
Sentence Transformers
Kind
Embeddings
Released
Mar 2022
Context
512
Data policy
Provider retention
Endpoint
/api/v1/embeddings

Quick start

curl https://anyrouter.dev/api/v1/embeddings \
  -H "Authorization: Bearer $ANYROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "sentence-transformers/all-minilm-l6-v2",
    "input": "The quick brown fox jumps over the lazy dog"
  }'