Create and upload files to a Hugging Face dataset
Browse and search datasets
Display translation benchmark results from NTREX dataset
Perform OSINT analysis, fetch URL titles, fine-tune models
Explore and edit JSON datasets
Label data for machine learning models
Organize and process datasets using AI
Curate and manage datasets for AI and machine learning
ReWrite datasets with a text instruction
Browse TheBloke models' history
Train a model using custom data
Manage and orchestrate AI workflows and datasets
Speech Corpus Creation Tool
Repo Sync Example is a tool designed to create and upload files to a Hugging Face dataset. It simplifies the process of managing and syncing repositories, making it easier to work with datasets in a structured and efficient manner.
• Automated Syncing: Seamlessly synchronize files between local repositories and Hugging Face datasets.
• File Management: Easily upload and organize files in a structured format.
• Version Control: Track changes and maintain different versions of your dataset.
• Integration: Compatible with Hugging Face datasets for seamless workflow integration.
What is the purpose of Repo Sync Example?
Repo Sync Example is designed to simplify the process of creating and managing datasets on Hugging Face by automating file uploads and syncing.
Can I sync files bidirectionally?
No, Repo Sync Example currently supports one-way syncing from a local repository to a Hugging Face dataset.
What types of files are supported?
The tool supports a variety of file types, including text, CSV, JSON, and image files, making it versatile for different dataset needs.