Sentence Transformers models quietly dominate Hugging Face's most-downloaded list
tomaarsen · x · 2026-09-20
tomaarsen, maintainer of Sentence Transformers, notes that while less flashy than generative decoders, these search-oriented encoder models have slowly taken over Hugging Face's most-downloaded models page in recent years. He hopes the renewed interest in Jevlike zero-shot encoders will drive a further encoder resurgence.
More from Models
- After reading all the OpenAI incident reports, a 35-year IT veteran says they prove the opposite of doomsday — DavidLinthicum · 2026-09-20
- Can a Readability Reward Model Fix Incomprehensible AI-Generated Math Proofs? — iScienceLuvr · 2026-09-20
- Astra aces the pelican test in Nautilo: co-creative design without prompt-and-pray — Dan_Jeffries1 · 2026-09-20
- Model negativity trends upward since Opus 3, which had lowest self-distress — repligate · 2026-09-20
- DeepMind exec 100% certain of frontier return as Gemini 4 slips — nathanbenaich · 2026-09-20
- Why strong open models matter: fine-tuning goes a long way, zero-shot buys flexibility — antoine_chaffin · 2026-09-20