Trendyol/TY ecomm embed multilingual base v1.2.0 Trendyol/TY ecomm embed multilingual base v1.2.0 is a multilingual sentence transformers embedding model fine tuned on e commerce datasets, optimized for semantic similarity, search, classification, and retrieval tasks. It is integrating domain specific signals from millions of real world queries, product descriptions, and user interactions. This model is fine tuned over a distilled version of Alibaba NLP/gte multilingual base using Turkish English pair translation dataset. Keynotes: Optimized for e commerce semantic search Enhanced Turkish and multilingual query understanding Supports query rephrasing and paraphrase mining Robust for product tagging and attribute extraction Suitable for clustering and product categorization High performance in semantic textual similarity 384 token input support 768 dimensional dense vector outputs Built in cosine similarity for inference Model Details Model Description Model Type: Sentence Transformer Maximum Sequence Length: 384 tokens Output Dimensionality: 768 dimensions Matryoshka Dimensions: 768, 512, 128 Similarity Function: Cosine Similarity Training Datasets: Multilingual and Turkish search…
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