k. log_parameters (bool, optional, defaults to True) — If True, logs all Trainer arguments and model parameters provided by the config_sentence_transformers. This is typically achieved through siamese and triplet network structures that are trained to bring semantically similar sentences closer together in the embedding space, while pushing dissimilar sentences apart. 22. Install PyTorch with CUDA support To use a GPU/CUDA, you must install PyTorch with CUDA support. 46. TrainerControl, **kwargs) [source] ¶ Event called at the end of training. I am unable to get(or print) the train LangChain is an open source framework with a pre-built agent architecture and integrations for any model or tool — so you can build agents that adapt as fast as the ecosystem evolves Aug 24, 2025 · Building Blocks of the Hugging Face Trainer (with a SentenceTransformer Case Study) I have used transformers for years, yet my mental model of training was foggy. a bi-encoder) models: Calculates a fixed-size vector representation (embedding) given texts or images. py at main · huggingface/transformers SentenceTransformers 文档 Sentence Transformers（又名 SBERT）是访问、使用和训练最先进的嵌入和重新排序模型的首选 Python 模块。它可用于使用 Sentence Transformer 模型计算嵌入（快速入门），使用 Cross-Encoder（又名重新排序器）模型计算相似度分数（快速入门），或使用 Sparse Encoder 模型生成稀疏嵌入（快速 SentenceTransformer.

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