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first-demo
songhai2022/first-demo
first-demo is a text generation model from songhai2022. Use it when you need the model to write or continue text. It is set up for custom.
This model generates fake data for a news network, including nodes (news articles) and links (relationships between articles). It's designed to create realistic-looking data for testing, development, or demonstration…
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Updated Oct 25, 2024
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.py1.8 KB · 42%
At a glance
- Task
- Text Generation
- Library
- custom
- Access
- Public
- Created
- May 10, 2023
- Updated
- Oct 25, 2024
- SHA
- 73098cef
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Model card
From the Hugging Face model README
Fake News Network Data Generator
This model generates fake data for a news network, including nodes (news articles) and links (relationships between articles). It's designed to create realistic-looking data for testing, development, or demonstration purposes.
Model Description
The model uses the Faker library to generate random but realistic-looking data for a network of news articles. It creates a specified number of nodes (articles) and links (relationships between articles), with various attributes such as headlines, topics, emotions, dates, and sentiments.
Input
The model accepts a JSON input with the following optional parameters:
num_nodes: The number of news article nodes to generate (default: 10)num_links: The number of links between articles to generate (default: 5)
Example input:
{
"num_nodes": 15,
"num_links": 8
}
- Task
- Text Generation
- Library
- custom
- Created
- May 10, 2023
- Updated
- Oct 25, 2024