Create and upload files to a Hugging Face dataset
Create and validate structured metadata for datasets
Organize and process datasets for AI models
Perform OSINT analysis, fetch URL titles, fine-tune models
Convert PDFs to a dataset and upload to Hugging Face
Browse TheBloke models' history
Display html
Manage and label datasets for your projects
Explore and edit JSON datasets
Browse a list of machine learning datasets
Manage and orchestrate AI workflows and datasets
Manage and label your datasets
Review and rate queries
Repo Sync Example is a tool designed to assist in creating and uploading files to a Hugging Face dataset. It simplifies the process of dataset creation by providing a straightforward way to synchronize and manage your data, ensuring that your datasets are properly formatted and readily available for use in machine learning projects. This tool is particularly useful for users who want to streamline their dataset creation workflow and ensure consistency across their projects.
What is the main purpose of Repo Sync Example?
Repo Sync Example is primarily used to create and upload files to a Hugging Face dataset, streamlining the dataset creation process.
How do I configure my Hugging Face credentials?
You can configure your credentials by creating a config.json file in the root directory of your project, containing your Hugging Face token and username.
Can I use Repo Sync Example for existing datasets?
Yes, Repo Sync Example supports both new and existing datasets, allowing you to easily update or modify your datasets as needed.