LFM2.5-Embedding-350M (free)

curl https://deference.si/v1/embeddings \
  -H "Authorization: Bearer $DEFERENCE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "liquid/lfm-2.5-embedding-350m:free",
    "input": "The quick brown fox"
  }'

import os
from openai import OpenAI
client = OpenAI(base_url="https://deference.si/v1", api_key=os.environ["DEFERENCE_API_KEY"])
result = client.embeddings.create(model="liquid/lfm-2.5-embedding-350m:free", input="The quick brown fox")
print(len(result.data[0].embedding))

import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://deference.si/v1", apiKey: process.env.DEFERENCE_API_KEY });
const result = await client.embeddings.create({ model: "liquid/lfm-2.5-embedding-350m:free", input: "The quick brown fox" });
console.log(result.data[0].embedding.length);