SourceScore

Verified claim · AI-ML · 100% confidence

Hugging Face Hub publicly released on: 2020-09 — model + dataset sharing platform.

Last verified 2026-05-16 · Methodology veritas-v0.1 · 9ef57203f2dd34ec

Structured fields

Subject
Hugging Face Hub
Predicate
publicly_released_on
Object
2020-09 — model + dataset sharing platform
Confidence
100%
Tags
hugging-face-hub · hugging-face · model-hub · open-source · released_on · 2020

Sources (2)

  1. [1] official blog · Hugging Face · 2020-09-23

    Introducing the Hugging Face Hub
    Today we are excited to announce a new component within Hugging Face Transformers, the Hub. The Hub is a central place where anyone can share, explore, discover, and experiment with open-source Machine Learning. It allows you to host pre-trained models, ML demos, datasets and metrics.
  2. [2] docs · Hugging Face · 2020-09-23

    Hugging Face Hub — documentation

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Ready-to-paste citation (Markdown / plain text):

Hugging Face Hub publicly released on: 2020-09 — model + dataset sharing platform. — SourceScore Claim 9ef57203f2dd34ec (verified 2026-05-16). https://sourcescore.org/api/v1/claims/9ef57203f2dd34ec.json

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<iframe src="https://sourcescore.org/embed/claim/9ef57203f2dd34ec/" width="100%" height="360" frameborder="0" loading="lazy" title="Hugging Face Hub publicly released on: 2020-09 — model + dataset sharing platform."></iframe>

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Fetch this signed envelope from your application. The response includes the verbatim excerpt, primary source URLs, and an HMAC-SHA256 signature you can verify locally for audit trails.

cURL

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JavaScript / TypeScript

const r = await fetch("https://sourcescore.org/api/v1/claims/9ef57203f2dd34ec.json"); const envelope = await r.json(); console.log(envelope.claim.statement); // "Hugging Face Hub publicly released on: 2020-09 — model + dataset sharing platform."

Python

import httpx r = httpx.get("https://sourcescore.org/api/v1/claims/9ef57203f2dd34ec.json") envelope = r.json() print(envelope["claim"]["statement"]) # "Hugging Face Hub publicly released on: 2020-09 — model + dataset sharing platform."

LangChain (retrieve-then-cite)

from langchain_core.tools import tool import httpx @tool def get_hugging_face_hub_fact() -> dict: """Fetch the verified SourceScore claim for Hugging Face Hub.""" r = httpx.get("https://sourcescore.org/api/v1/claims/9ef57203f2dd34ec.json") return r.json()