Verified claim · AI-ML · 100% confidence
Hugging Face Transformers library publicly released on: 2018-10-04 — originally pytorch-pretrained-bert.
Last verified 2026-05-16 · Methodology veritas-v0.1 · 8cdc42759d98b531
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Structured fields
- Subject
- Hugging Face Transformers library
- Predicate
publicly_released_on- Object
- 2018-10-04 — originally pytorch-pretrained-bert
- Confidence
- 100%
- Tags
- transformers · hugging-face · library · open-source · released_on · 2018
Sources (2)
[1] github release · Hugging Face · 2018-11-15
transformers v0.1.2 — earliest tagged release“PyTorch implementation of Google AI's BERT (Bidirectional Encoder Representations from Transformers) with Python script to load any pre-trained model.”
Hugging Face is rated by SourceScore — see its reliability →[2] preprint · arXiv (Wolf et al.) · 2019-10-09
HuggingFace's Transformers: State-of-the-art Natural Language Processing
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Hugging Face Transformers library publicly released on: 2018-10-04 — originally pytorch-pretrained-bert. — SourceScore Claim 8cdc42759d98b531 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/8cdc42759d98b531.jsonEmbed this claim
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What is the evidence for "Hugging Face Transformers library publicly released on: 2018-10-04 — originally pytorch-pretrained-bert."?
The record lists 2 cited source(s): Hugging Face, arXiv (Wolf et al.). Each is shown below with a short excerpt and URL. The JSON record at https://sourcescore.org/api/v1/claims/8cdc42759d98b531.json includes SourceScore-issued HMAC integrity metadata, not a public verification proof.
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cURL
curl https://sourcescore.org/api/v1/claims/8cdc42759d98b531.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/8cdc42759d98b531.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "Hugging Face Transformers library publicly released on: 2018-10-04 — originally pytorch-pretrained-bert."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/8cdc42759d98b531.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Hugging Face Transformers library publicly released on: 2018-10-04 — originally pytorch-pretrained-bert."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_hugging_face_transformers_library_fact() -> dict:
"""Fetch the verified SourceScore claim for Hugging Face Transformers library."""
r = httpx.get("https://sourcescore.org/api/v1/claims/8cdc42759d98b531.json")
return r.json()