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@tomaarsen
Sentence Transformers Lead, SetFit & NLTK maintainer Machine Learning Engineer at 🤗 Hugging Face
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The update adds compatibility with recent library versions for text classification training.
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Using late-interaction embeddings, the 260M-parameter model scored 0.523 nDCG@10, while the 800M model scored 0.556, according to the user.
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Researcher shares findings comparing LLMs to specialized embedding models on benchmarks.
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The release treats ColBERT-style late interaction models as a first-class model type for training, inference, and interpretation.