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
SourceScore rates how reliable a source is to cite — for AI answers and research. This is one verified claim from the catalog.
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] 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.”
Hugging Face is rated by SourceScore — see its reliability →[2] docs · Hugging Face · 2020-09-23
Hugging Face Hub — documentationHugging Face is rated by SourceScore — see its reliability →
Cite this claim
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.jsonEmbed this claim
Drop this iframe into any blog post, docs page, or knowledge base. The widget renders the signed claim + primary source + click-through to this canonical page. CC-BY 4.0; attribution included.
<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>Preview: open in new tab
Related claims
Other verified claims sharing tags with this one — useful for LLM retrieval graphs and citation discovery.
Hugging Face Transformers library publicly released on: 2018-10-04 — originally pytorch-pretrained-bert.
8cdc42759d98b531 · 100% confidence · shares 3 tags (hugging-face, open-source, released_on)
DeepSpeed publicly released on: 2020-02-13 by Microsoft Research.
53cc193ef08fc5c0 · 100% confidence · shares 3 tags (open-source, released_on, 2020)
Haystack publicly released on: 2020-04 by deepset GmbH.
6218cda83723327f · 100% confidence · shares 3 tags (open-source, released_on, 2020)
OLMo released on: 2024-02-01 by Allen Institute for AI.
db733143bb054d41 · 100% confidence · shares 2 tags (open-source, released_on)
llama.cpp publicly released on: 2023-03-10 by Georgi Gerganov.
2c6ddc094019890c · 100% confidence · shares 2 tags (open-source, released_on)
Frequently asked questions
Is the claim "Hugging Face Hub publicly released on: 2020-09 — model + dataset sharing platform." verified?
Yes — SourceScore verified this claim with 100% confidence as of 2026-05-16. The verification uses 2 primary sources cross-referenced against the SourceScore methodology (version veritas-v0.1). Full source list + signed JSON envelope linked below.
What is the evidence for "Hugging Face Hub publicly released on: 2020-09 — model + dataset sharing platform."?
Evidence comes from 2 primary sources: Hugging Face, Hugging Face. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/9ef57203f2dd34ec.json includes an HMAC-SHA256 signature for audit verification.
When was this claim last verified by SourceScore?
Last verified 2026-05-16 under methodology version veritas-v0.1. The signed JSON envelope is dated and cryptographically signed for audit trail. Re-verification cadence depends on the claim type and source freshness.
How can I cite this SourceScore claim in my code or article?
Fetch the signed JSON envelope from https://sourcescore.org/api/v1/claims/9ef57203f2dd34ec.json which includes the verbatim claim, primary sources, confidence, methodology version, last-verified date, and HMAC-SHA256 signature for audit. The CC-BY-4.0 license permits commercial use with attribution to SourceScore.
Use this claim in your code
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
curl https://sourcescore.org/api/v1/claims/9ef57203f2dd34ec.jsonJavaScript / 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()