Возможно, вы имели в виду: embedding data qqp triplets |
This dataset will give anyone the opportunity to train and test models of semantic equivalence, based on actual Quora data. The data is organized as triplets ( ... |
Embedding Training Data 6. Tasks: Sentence Similarity. Modalities: Text. Formats: json. Sub-tasks: semantic-similarity-classification. Languages:. |
In a Sentence Transformer model, you map a variable-length text (or image pixels) to a fixed-size embedding representing that input's meaning. |
In this article, we will learn about embedding models, how they work and different features of sentence transformers. Using sentence transformers, we will ... |
- The embedding-data/QQP_triplets dataset has 101762 examples. - Each example is a <class 'dict'> with a <class 'dict'> as value. - Examples look like this: {' ... |
"QQP_triplets" 数据集卡片. 数据集概要. 此数据集将为任何人提供使用实际Quora 数据训练和测试语义等效模型的机会。数据以三元组（锚定、正例、负例）的形式组织。 |
12 нояб. 2024 г. · Embedding Data Qqp Triplets. Explore the technical aspects of embedding data and QQP triplets for enhanced machine learning applications. |
embedding-data/QQP_triplets. 任务: 句子相似度. 子任务: semantic-similarity-classification. 语言: en. 许可: mit · 数据集介绍 文件清单. 文件路径: embedding-data ... |
Embeddings: Bridging Data and Neural Networks - Medium medium.com › embeddings-bridging-data-and-...
8 окт. 2024 г. · Embeddings transform non-numeric data into numerical form by mapping elements like words, nodes in a graph, or categories into continuous vector spaces. |
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