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Stefan Schweter PRO

stefan-it
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AI & ML interests

Flair Library 💕, NER & PoS Tagging, LM Pretraining (mostly encoder-only & encoder-decoder), Historical Language Models

Recent Activity

commented on a paper 1 day ago
NER4all or Context is All You Need: Using LLMs for low-effort, high-performance NER on historical texts. A humanities informed approach
upvoted a paper 1 day ago
NER4all or Context is All You Need: Using LLMs for low-effort, high-performance NER on historical texts. A humanities informed approach
reacted to nicolay-r's post with 🚀 1 day ago
📢 If you wish to empower LLM with IR and named entity recognition module, then I got relevant findings. Just tested Flair below is how you can start for adapting for processing your CSV / JSONL data via bulk-ner 👩‍💻 code: https://github.com/nicolay-r/nlp-thirdgate/blob/master/tutorials/ner_flair_0151.sh 🤖 models: https://huggingface.co/flair Provider: https://raw.githubusercontent.com/nicolay-r/nlp-thirdgate/refs/heads/master/ner/flair_0151.py Framework: https://github.com/nicolay-r/bulk-ner 🚀 Performance: the default ner model (Thinkpad X1 Nano) Batch-size 1 6it/sec Batch-size 10+ 12it/sec 🌌 other wrappers for bulk-ner nlp-thirdgate: https://github.com/nicolay-r/nlp-thirdgate
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