Show HN: Local pretrained classifiers, GPU not needed
Jeffy Pretrained text classifiers you can run and retrain on CPU. Try it Install uv, then: uvx --python 3.12 \ --from "jeffy-classify @ git+https://github.com/nicobrenner/[email protected]" \ jeffy-serve Open http://localhost:8400, pick a classifier, and paste one of these: Classifier Try this text banking77 I was charged twice for the same transaction sms_spam WINNER! Reply YES to claim. ag_news The Federal Reserve raised interest rates by 25 basis points on Wednesday Pretrained capabilities 13 classifiers ship with the package.
- ▪Jeffy Pretrained text classifiers you can run and retrain on CPU.
- ▪Try it Install uv, then: uvx --python 3.12 \ --from "jeffy-classify @ git+https://github.com/nicobrenner/[email protected]" \ jeffy-serve Open http://localhost:8400, pick a classifier, and paste one of these: Classifier Try this text
- ▪Reply YES to claim. ag_news The Federal Reserve raised interest rates by 25 basis points on Wednesday Pretrained capabilities 13 classifiers ship with the package.
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/nicobrenner/jeffy |
| Publication time | Sat, 03 Oct 2026 20:19:09 +0000 |
| Retrieval time | 2026-10-03T22:34:28.130Z |
| Last seen | 2026-10-03T22:34:37.624Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 4PbfqkSfWRfW · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Jeffy Pretrained text classifiers you can run and retrain on CPU. Try it Install uv, then: uvx --python 3.12 \ --from "jeffy-classify @ git+https://github.com/nicobrenner/[email protected]" \ jeffy-serve Open http://localhost:8400, pick a classifier, and paste one of these: Classifier Try this text banking77 I was charged twice for the same transaction sms_spam WINNER! You have been selected for a free cruise. Reply YES to claim. ag_news The Federal Reserve raised interest rates by 25 basis points on Wednesday Pretrained capabilities 13 classifiers ship with the package. Weights are logistic regression coefficients (derived model parameters, not copies of training data). Source datasets and licenses are documented in ATTRIBUTION.md.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.