CachedMultipleNegativesRankingLoss

This release focuses on correctness and performance, rebuilding gradient-cached losses on a shared engine for faster training and fixing several gradient bugs. It also significantly improves inference speed when using `model.compile()`.

This minor release focuses on correctness and robustness, fixing silent scoring bugs related to chat-template truncation and improving stability for hard-negative mining and GIST losses. It also introduces MPS support and restores TSDAE functionality on recent `transformers` versions.

This minor release enhances contrastive learning with new loss formulations and hardness weighting for MultipleNegativesRankingLoss, and introduces memory-efficient CachedSpladeLoss and GlobalOrthogonalRegularizationLoss. Bug fixes include addressing issues with GroupByLabelBatchSampler.

Version 4.0.1 introduces a complete overhaul of the CrossEncoder training pipeline with a new `CrossEncoderTrainer`, dataset‑based inputs, multi‑GPU and bf16 support, and many training‑related enhancements, while keeping inference unchanged.

Version 3.4.1 adds native Model2Vec support to SentenceTransformer and fixes several documentation and network‑request bugs.