LiquidAI: LFM2.5-Embedding-350M (free): AI model

curl https://api.hormouz.net/v1/embeddings \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"liquid/lfm-2.5-embedding-350m:free","input":"The quick brown fox"}'

from openai import OpenAI
client = OpenAI(api_key="ng-YOUR_API_KEY", base_url="https://api.hormouz.net/v1")
resp = client.embeddings.create(model="liquid/lfm-2.5-embedding-350m:free", input="The quick brown fox")
print(resp.data[0].embedding)

import OpenAI from "openai";
const client = new OpenAI({ apiKey: "ng-YOUR_API_KEY", baseURL: "https://api.hormouz.net/v1" });
const resp = await client.embeddings.create({
  model: "liquid/lfm-2.5-embedding-350m:free",
  input: "The quick brown fox",
});
console.log(resp.data[0].embedding);