Create and upload files to a Hugging Face dataset
Save user inputs to datasets on Hugging Face
Create datasets with FAQs and SFT prompts
Explore and manage datasets for machine learning
Train a model using custom data
Browse and view Hugging Face datasets
Count tokens in datasets and plot distribution
Explore and edit JSON datasets
Create a large, deduplicated dataset for LLM pre-training
Organize and process datasets for AI models
Build datasets using natural language
Convert a model to Safetensors and open a PR
Manage and label data for machine learning projects
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.