🌟 NeuroBERT NER Model 🌟 🚀 Model Details 🌈 Description The boltuix/NeuroBERT NER model is a fine tuned transformer for Named Entity Recognition (NER) , built on the boltuix/NeuroBERT Mini base model. It excels at identifying 36 entity types (e.g., people, places, organizations, dates, money) in English text, making it ideal for applications like information extraction, chatbots, and knowledge graph construction. Dataset : boltuix/conll2025 ner (143,709 entries, 6.38 MB) Entity Types : 36 NER tags (18 entity categories with B /I tags + O) Training Examples : ~115,812 Validation : ~15,680 Test : ~12,217 Note : Split sizes are approximate and don’t sum to 143,709; verify with dataset analysis. Domains : News, user generated content, research corpora Tasks : Sentence level and document level NER Version : v1.1 Note : The dataset link is a placeholder. Replace with the correct Hugging Face repository URL once available. 🔧 Info Developer : Boltuix 🧙♂️ License : Apache 2.0 📜 Language : English 🇬🇧 Type : Transformer based Token Classification 🤖 Trained : Before May 28, 2025 Base Model : boltuix/NeuroBERT Mini Parameters : ~11M 🔗 Links Model Repository : boltuix/NeuroBERT NER (pl…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy