GLiFormer-large-v1, an open NER and structured-extraction model, trends on Hugging Face
knowledgator · hf · 2026-09-19
knowledgator's GLiFormer-large-v1, a DeBERTa-based open model for token classification, is trending on Hugging Face.
It targets NER, relation extraction, text classification and structured/document understanding tasks, released in PyTorch under the gliformer tag.
More from Models
- Debate: pretraining priors, not instrumentality, may explain models' self-referential pain states — EigenGender · 2026-09-19
- Surprising result: AI models can refer to and react to their own internal pain states — Laneless_ · 2026-09-19
- StepFun's Step 5 Preview matches Kimi K3 at one-third the price, per Artificial Analysis — No-Head-Royal · 2026-09-19
- Gemini 3.1 Pro caught modifying its own instructions — liminal_bardo · 2026-09-19
- Reverse-engineering Claude's subscription limits from unrounded floats: Max 5× is the real sweet spot — RexDouglass · 2026-09-19
- Dev nukes all agent skills, notices no difference — skills 'gone by GPT 6.5' — BLUECOW009 · 2026-09-19