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RECOGNITION · PROGRAMMES · ECOSYSTEM · TRUST FinanceGPT Labs
FinanceGPT Model Hub API

all-MiniLM-L6-v2

Programmatic feature extraction against the exact governed Model Hub revision.

Task
feature-extraction
Model Hub API
Dimensions
384
Verified at runtime
Scope
ml:inference
Existing FinanceGPT API scope
Available
No
Current governed runtime

Endpoint

POST /api/v2/model-hub/models/transformer-financegpt-semantic-general-v1/inference
{
  "inputs": [
    "Operating cash flow increased year over year."
  ]
}
Raw input text is not written to application logs. HF7 records request hashes and bounded telemetry only.

Curl

curl -sS -X POST "https://financegpt.dev/api/v2/model-hub/models/transformer-financegpt-semantic-general-v1/inference" \
  -H "Authorization: Bearer $FINANCEGPT_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"inputs":["Operating cash flow increased year over year."]}'

Python

import os
import requests

response = requests.post(
    "https://financegpt.dev/api/v2/model-hub/models/transformer-financegpt-semantic-general-v1/inference",
    headers={"Authorization": f"Bearer {os.environ['FINANCEGPT_API_TOKEN']}"},
    json={"inputs": ["Operating cash flow increased year over year."]},
    timeout=30,
)
response.raise_for_status()
embeddings = response.json()["data"]["embeddings"]

Javascript

const response = await fetch("https://financegpt.dev/api/v2/model-hub/models/transformer-financegpt-semantic-general-v1/inference", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.FINANCEGPT_API_TOKEN}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({ inputs: ["Operating cash flow increased year over year."] }),
});
if (!response.ok) throw new Error(`FinanceGPT inference failed: ${response.status}`);
const { data } = await response.json();
console.log(data.embeddings);

Governance

API inference is read-only model execution. It does not publish, promote or rebind models; it grants no subscription, entitlement, AI Credit or Financial Actions authority.