stephantulkens/paws-gte-modernbert-pooled

这是一个嵌入阿里巴巴-NLP/gte-modernbert-base模型的google-research-datasets/paws数据集，每个示例的嵌入维度为768。这些嵌入旨在用于大规模蒸馏、检索和相似性搜索等任务。数据集包含1291304个训练示例。嵌入由Hugging Face Hub的Alibaba-NLP/gte-modernbert-base模型生成。This is the google-research-datasets/paws dataset, embedded with Alibaba-NLP/gte-modernbert-base. Each example is embedded with a dimensionality of 768. These embeddings are intended for tasks like large-scale distillation, retrieval, and similarity search. The dataset contains 1,291,304 examples in the training split. The embeddings are produced with the Alibaba-NLP/gte-modernbert-base model from Hugging Face Hub.