Sentence Transformers
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Used to serve the model efficiently
Used (v6) to fine-tune separate dense or late-interaction retrieval heads on the NeoMME backbone via NeoMMEModel
Python library used to train and finetune embedding, sparse, reranker, and multi-vector models; installed via pip install -U "sentence-transformers[train]"
Library used to encode text and multimodal inputs, compute similarity, set prompt names, truncate_dim, normalize_embeddings, config_kwargs to disable encoders, and model_kwargs for dtype
Embedding/pooling library; compatibility fix for 5.4+ configs
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