fine-tuned/jinaai_jina-embeddings-v2-base-en-6132024-bez1-webapp
收藏Hugging Face2024-06-13 更新2024-06-29 收录
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https://hf-mirror.com/datasets/fine-tuned/jinaai_jina-embeddings-v2-base-en-6132024-bez1-webapp
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资源简介：
---
license: apache-2.0
task_categories:
- feature-extraction
- sentence-similarity
language:
- en
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
- Product
- Supplier
- Commerce
- Information
- Contact
pretty_name: general domain
size_categories:
- n<1K
---
# jinaai_jina-embeddings-v2-base-en-6132024-bez1-webapp Dataset
## Dataset Description
The dataset "general domain" is a generated dataset designed to support the development of domain specific embedding models for retrieval tasks.
## Associated Model
This dataset was used to train the [**jinaai_jina-embeddings-v2-base-en-6132024-bez1-webapp**](https://huggingface.co/fine-tuned/jinaai_jina-embeddings-v2-base-en-6132024-bez1-webapp) model.
## How to Use
To use this dataset for model training or evaluation, you can load it using the Hugging Face `datasets` library as follows:
```python
from datasets import load_dataset
dataset = load_dataset("fine-tuned/jinaai_jina-embeddings-v2-base-en-6132024-bez1-webapp")
print(dataset['test'][0])
```
提供机构：
fine-tuned
原始信息汇总
jinaai_jina-embeddings-v2-base-en-6132024-bez1-webapp Dataset
数据集描述
该数据集名为“general domain”，是一个生成的数据集，旨在支持特定领域嵌入模型在检索任务中的开发。
相关模型
该数据集用于训练 jinaai_jina-embeddings-v2-base-en-6132024-bez1-webapp 模型。
使用方法
要使用此数据集进行模型训练或评估，可以使用 Hugging Face 的 datasets 库加载数据集，如下所示：
python from datasets import load_dataset
dataset = load_dataset("fine-tuned/jinaai_jina-embeddings-v2-base-en-6132024-bez1-webapp") print(dataset[test][0])
