AIDir.app
  • Hot AI Tools
  • New AI Tools
  • AI Tools Category
AIDir.app
AIDir.app

Save this website for future use! Free to use, no login required.

About

  • Blog

© 2025 • AIDir.app All rights reserved.

  • Privacy Policy
  • Terms of Service
Home
Dataset Creation
Upload To Hub

Upload To Hub

Upload files to a Hugging Face repository

You May Also Like

View All
✍

Dataset ReWriter

ReWrite datasets with a text instruction

12
📊

Fast

Organize and process datasets using AI

0
🐶

Convert to Safetensors

Convert a model to Safetensors and open a PR

0
🐶

Convert to Safetensors

Convert and PR models to Safetensors

236
🌖

SynthGenAI UI

Generate synthetic datasets for AI training

8
🚀

gradio_huggingfacehub_search V0.0.7

Search for Hugging Face Hub models

15
🗺

OpenAssistant/oasst1

Explore datasets on a Nomic Atlas map

1
🟧

LabelStudio

Label data efficiently with ease

0
👁

Sarthaksavvy Flux Lora Train

Train a model using custom data

1
🚀

Research Tracker

73
⏰

SmolVLM2 IPhone Waitlist

sign in to receive news on the iPhone app

17
📊

Fast

Organize and invoke AI models with Flow visualization

0

What is Upload To Hub ?

A tool designed to simplify the process of uploading files to a Hugging Face repository. It streamlines dataset creation and management by providing an intuitive interface for handling various file types and ensuring seamless integration with Hugging Face Hub.

Features

• Support for Multiple File Types: Upload both individual files and folders in formats like text, CSV, images, and more. • Integration with Hugging Face Hub: Directly move files to your Hugging Face repository without additional steps. • Easy File Management: Organize files into repositories and manage versions effectively. • Security: Maintain control over file permissions and access. • Version Control: Track changes with versioning support. • Collaboration: Share files with team members for collaborative projects.

How to use Upload To Hub ?

  1. Authenticate with Hugging Face: Log in to your Hugging Face account through Upload To Hub.
  2. Select Files to Upload: Choose the files or folders you want to upload.
  3. Choose the Target Repository: Select or create a new repository on Hugging Face Hub.
  4. Configure Upload Settings: Set file permissions and other options if needed.
  5. Start the Upload: Initiate the upload process and monitor progress.
  6. Manage Uploaded Files: Organize files in your repository as needed.
  7. Share or Collaborate: Share the repository URL or invite collaborators.
  8. Access Your Files: Retrieve or update files directly from Hugging Face Hub.

Frequently Asked Questions

What types of files can I upload to Upload To Hub?
Upload To Hub supports a variety of file formats, including text files, CSV, JSON, images, and more. It is designed to handle datasets used for machine learning and data science.

Can I use Upload To Hub without an API?
Yes, you can use Upload To Hub directly through its interface without needing to interact with APIs. However, advanced users can also integrate with APIs for custom workflows.

How many files can I upload at once?
You can upload multiple files or entire folders in a single operation. The specific limit depends on your Hugging Face Hub account and storage quota.

Is my data secure when using Upload To Hub?
Yes. Upload To Hub uses secure authentication and works with Hugging Face's security measures to protect your data. You can also set permissions to control who can access your files.

Do I need a Hugging Face account to use Upload To Hub?
Yes, you need a Hugging Face account to use Upload To Hub since it directly interacts with your repositories on Hugging Face Hub.

Recommended Category

View All
↔️

Extend images automatically

😂

Make a viral meme

🚫

Detect harmful or offensive content in images

🎭

Character Animation

💻

Generate an application

❓

Question Answering

🔊

Add realistic sound to a video

✍️

Text Generation

🗣️

Voice Cloning

✨

Restore an old photo

🤖

Create a customer service chatbot

🗂️

Dataset Creation

✂️

Background Removal

📐

3D Modeling

🎙️

Transcribe podcast audio to text