huggingface/sentence-transformers
State-of-the-Art Embeddings, Retrieval, and Reranking
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- Loss OverviewLoss functions play a critical role in the performance of your fine-tuned model. Sadly, there is no "one size fits all" loss function. Ideally, this table should help narrow down your choice of loss…docs/multi_vector_encoder/loss_overview.md
- Pretrained ModelsThese load with their trained prefix tokens, query expansion, and punctuation skiplist recovered from the saved configuration. Where a revision is listed, pass it until the pull request on that repos…docs/multi_vector_encoder/pretrained_models.md
- Training OverviewFinetuning multi-vector (a.k.a. late-interaction or ColBERT-style) models heavily improves their retrieval performance on your specific domain: the vocabulary, the query style, and the notion of rele…docs/multi_vector_encoder/training_overview.md