cd /news/artificial-intelligence/distilbert-distilbert-base-uncased · home topics artificial-intelligence article
[ARTICLE · art-55169] src=huggingbay.xyz ↗ pub= topic=artificial-intelligence verified=true sentiment=· neutral

distilbert/distilbert-base-uncased

Hugging Bay lists distilbert/distilbert-base-uncased, a 260 MB DistilBERT encoder under Apache-2.0, as a compact resilience fallback for high-demand AI artifacts. The model has 500 upstream downloads but lacks hosted files and reviews, with a pending security scan and a trust score of 0/100.

read2 min views1 publishedJul 7, 2026
distilbert/distilbert-base-uncased
Image: Huggingbay (auto-discovered)

distilbert/distilbert-base-uncased: Widely used small DistilBERT encoder for lightweight NLP tasks. License: apache-2.0. external huggingface metadata. Scan: pending.

  • License

  • apache-2.0

  • Size

  • 260.0 MB

  • Demand

  • 500 upstream downloads

  • Trust

  • Needs review 0/100

  • Trusted download

  • External metadata; mirror requestable

  • Run fit

  • Easy local fit: CPU, Apple Silicon, or a small consumer GPU is usually enough for smoke tests

  • Files

  • 0 hosted / 1 total

  • Scan status

  • pending

  • Hosting status

  • external

  • Upstream

  • distilbert/distilbert-base-uncased

  • Declared license

  • apache-2.0

  • Pipeline

  • fill-mask

  • Library

  • Transformers

  • Task categories

  • fill-mask

About this artifact #

distilbert/distilbert-base-uncased is included in Hugging Bay's compact resilience fallback for high-demand open AI artifacts. Live Postgres metadata, hosted files, hashes, and reviews take precedence whenever available.

Trusted download #

External metadata; mirror requestable. Use upstream for now or add demand for a reviewed Hugging Bay mirror.

  • Hosted files
  • 0 of 1
  • Reviewed peer-assisted fallbacks
  • 0
  • Download plan
[Download-plan JSON](/api/artifacts/hf-model-distilbert-distilbert-base-uncased/download-plan)- Trust bundle
[Trust-bundle JSON](/api/trust-bundles/hf-model-distilbert-distilbert-base-uncased)- Review summary
[Review-summary JSON](/api/artifacts/hf-model-distilbert-distilbert-base-uncased/review-summary)- Distribution
[Reviewed peer-fallback JSON](/api/artifacts/hf-model-distilbert-distilbert-base-uncased/distribution)

Can I run this? #

Easy local fit. CPU, Apple Silicon, or a small consumer GPU is usually enough for smoke tests. Start with the local kit, verify hashes, then run a small inference or embedding check before production use.

  • Estimated footprint
  • 260.0 MB
  • Suggested runners
  • Transformers, vLLM
  • Runtime files
  • 0
  • Local kit

Local run kit Run-fit warnings: No runtime weight file is indexed yet.; Hugging Bay is showing metadata only until reviewed hosted files exist.

- License: pass - apache-2.0
- Provenance: pass - distilbert/distilbert-base-uncased
- Scan: warn - pending
- Hosted files: warn - external metadata only
- Signed manifest: fail - not final yet
- Community: warn - no reviews yet
- Benchmarks: warn - no benchmark evidence

Machine-readable card #

Open interactive artifact page

── more in #artificial-intelligence 4 stories · sorted by recency
── more on @distilbert/distilbert-base-uncased 3 stories trending now
sponsored brought to you by zahid.host 4,200+ EU-deployed projects
reading about agents? ship yours in a single git push.

Run your AI side-project on zahid.host

EU-based hosting, git-push deploys, automatic HTTPS, no cold starts. Free tier with a custom domain — perfect for shipping the agent you just read about.

$git push zahid main
Live at https://your-agent.zahid.host
Get free account → Pricing
from €0/mo · no card required
LIVE [news/distilbert-distilber…] indexed:0 read:2min 2026-07-07 ·