Search for Hugging Face Hub models
Create a domain-specific dataset seed
Create and manage AI datasets for training models
Display instructional dataset
Support by Parquet, CSV, Jsonl, XLS
Annotation Tool
Explore and edit JSON datasets
Label data for machine learning models
Download datasets from a URL
Display trending datasets from Hugging Face
Evaluate evaluators in Grounded Question Answering
Browse TheBloke models' history
Generate dataset for machine learning
gradio_huggingfacehub_search V0.0.7 is a Gradio application designed to simplify the process of searching for models, datasets, and demos on the Hugging Face Hub. It provides an intuitive interface to explore the vast repository of AI resources, making it easier for data scientists and machine learning practitioners to discover and utilize these resources efficiently.
• Comprehensive Search: Quickly search through the entire Hugging Face Hub repository.
• Filtering Options: Narrow down results by model type, dataset, or demo.
• Direct Integration: Seamless access to Hugging Face Hub without leaving the Gradio environment.
• Model Preview: Get detailed information about each model or dataset directly in the interface.
• Version Support: Search across different versions of models and datasets.
pip install gradio-huggingfacehub-search to install the package.import gradio_huggingfacehub_search in your Python script.search = gradio_huggingfacehub_search().Pro Tip: Use the filtering options to refine your search and find the most relevant resources quickly.
1. What is the Hugging Face Hub?
The Hugging Face Hub is a community-driven platform that hosts a wide range of AI models, datasets, and demos. It is widely used by the machine learning community to share and discover resources.
2. Do I need a Hugging Face account to use this tool?
No, you do not need a Hugging Face account to use the search functionality. However, some features like downloading models or datasets may require authentication.
3. How do I handle large numbers of search results?
You can use the filtering options to narrow down the results based on your specific needs. This will help you manage and focus on the most relevant resources.