Verified claim · AI-ML · 100% confidence
DistilBERT introduced in: Sanh et al. 2019 — a smaller, faster, cheaper BERT via knowledge distillation.
Last verified 2026-05-16 · Methodology veritas-v0.1 · 245af747a3d21061
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Structured fields
- Subject
- DistilBERT
- Predicate
introduced_in- Object
- Sanh et al. 2019 — a smaller, faster, cheaper BERT via knowledge distillation
- Confidence
- 100%
- Tags
- distilbert · bert · knowledge-distillation · hugging-face · foundational · 2019 · introduced_in
Sources (2)
[1] preprint · arXiv (Sanh, Debut, Chaumond, Wolf / Hugging Face) · 2019-10-02
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter“We introduce a method to pre-train a smaller general-purpose language representation model, called DistilBERT, which can then be fine-tuned with good performances on a wide range of tasks like its larger counterparts. We show that it is possible to reduce the size of a BERT model by 40%, while retaining 97% of its language understanding capabilities and being 60% faster.”
[2] official blog · Hugging Face · 2019-10-02
DistilBERT — Hugging Face Transformers documentationHugging Face is rated by SourceScore — see its reliability →
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DistilBERT introduced in: Sanh et al. 2019 — a smaller, faster, cheaper BERT via knowledge distillation. — SourceScore Claim 245af747a3d21061 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/245af747a3d21061.jsonEmbed this claim
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curl https://sourcescore.org/api/v1/claims/245af747a3d21061.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/245af747a3d21061.json");
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// "DistilBERT introduced in: Sanh et al. 2019 — a smaller, faster, cheaper BERT via knowledge distillation."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/245af747a3d21061.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "DistilBERT introduced in: Sanh et al. 2019 — a smaller, faster, cheaper BERT via knowledge distillation."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_distilbert_fact() -> dict:
"""Fetch the verified SourceScore claim for DistilBERT."""
r = httpx.get("https://sourcescore.org/api/v1/claims/245af747a3d21061.json")
return r.json()