cihatyldz/lojistik-benchmark
Viewer • Updated • 116 • 17
Cihat Yıldız PRO
cihatyldz
AI & ML interests
Senior Data Scientist | MSc
Recent Activity
posted an update 1 day ago
Çarşı, a dual-model Turkish e-commerce NER demo, is now live on Spaces. It runs Named Entity Recognition side by side with a fine-tuned Turkish BERT and Qwen2.5-7B zero-shot extraction, making the "specialized NER vs. zero-shot LLM" trade-off visible in real time. The system extracts 7 entity types from Turkish product text — PRODUCT, BRAND, PRICE, COLOR, SIZE, MATERIAL and GENDER — with color-coded highlighting over the original sentence. The fine-tuned BERT returns entities in ~10-50ms on CPU, while the LLM handles open-ended extraction through the Inference API. Trained on 8,000 synthetic Turkish e-commerce sentences with BIO-tagged token classification and no manual annotation.
🧠 BERT model: https://huggingface.co/cihatyldz/carsi-bert-turkish-ecommerce-ner
📊 Dataset: https://huggingface.co/datasets/cihatyldz/carsi-turkish-ecommerce-ner
🤗 Demo: https://huggingface.co/spaces/cihatyldz/carsi-ecommerce-ner updated a Space about 1 month ago
cihatyldz/lojistik-kargo-asistani published a Space about 1 month ago
cihatyldz/lojistik-kargo-asistaniOrganizations
None yet