SomeAI.org
  • Hot AI Tools
  • New AI Tools
  • AI Category
SomeAI.org
SomeAI.org

Discover 10,000+ free AI tools instantly. No login required.

About

  • Blog

© 2025 • SomeAI.org All rights reserved.

  • Privacy Policy
  • Terms of Service
Home
Dataset Creation
Hf2ms

Hf2ms

Transfer datasets from HuggingFace to ModelScope

You May Also Like

View All
😊

g

Organize and process datasets for AI models

0
✍

Data Annotation Using Argilla

Explore, annotate, and manage datasets

0
🧬

Synthetic Data Generator

Build datasets using natural language

0
🧠

Grouse

Evaluate evaluators in Grounded Question Answering

0
📈

Dataset Viewer

Browse and extract data from Hugging Face datasets

3
🚀

Dhravani

Speech Corpus Creation Tool

0
👁

Sarthaksavvy Flux Lora Train

Train a model using custom data

1
🌍

Space to Dataset Saver

Save user inputs to datasets on Hugging Face

31
🚀

gradio

Review and rate queries

0
✍

Dataset ReWriter

ReWrite datasets with a text instruction

13
🤗

Datasets Tagging

Create and validate structured metadata for datasets

82
👁

Datasets Convertor

Support by Parquet, CSV, Jsonl, XLS

56

What is Hf2ms ?

Hf2ms is a tool designed to transfer datasets from HuggingFace to ModelScope. It simplifies the process of migrating datasets between these platforms, enabling seamless integration and accessibility for machine learning workflows.

Features

• Compatibility: Supports dataset transfer from HuggingFace to ModelScope. • Easy Conversion: Converts HuggingFace datasets into a format compatible with ModelScope. • Data Integrity: Ensures data integrity during the transfer process. • Efficiency: Optimized for performance, handling both small and large-scale datasets. • User-Friendly: Designed with a simple interface for ease of use. • Customizable: Allows users to configure specific settings for dataset transfer. • Integration: Seamless integration with both HuggingFace and ModelScope ecosystems.

How to use Hf2ms ?

  1. Install the Tool
    Run the installation command to set up Hf2ms on your system.

  2. Access HuggingFace Dataset
    Identify and access the dataset you wish to transfer from HuggingFace.

  3. Configure Transfer Settings
    Set up the necessary configurations for the transfer process, such as dataset name and target location.

  4. Execute the Transfer
    Use the Hf2ms command to initiate the dataset transfer to ModelScope.

  5. Verify Completion
    Ensure the dataset is successfully transferred and accessible in ModelScope.

Frequently Asked Questions

What datasets are compatible with Hf2ms?
Hf2ms supports most publicly available datasets on HuggingFace, with compatibility checks in place to ensure smooth transfer.

How long does the transfer process take?
Transfer time depends on the size of the dataset. Small datasets transfer quickly, while larger datasets may require more time.

Do I need specific prerequisites to use Hf2ms?
Yes. Ensure you have the necessary credentials for both HuggingFace and ModelScope to authenticate and authorize the transfer.

Recommended Category

View All
🔤

OCR

🚨

Anomaly Detection

🎎

Create an anime version of me

👗

Try on virtual clothes

📊

Convert CSV data into insights

🎙️

Transcribe podcast audio to text

📐

Convert 2D sketches into 3D models

⭐

Recommendation Systems

🎥

Create a video from an image

🖼️

Image Captioning

🔊

Add realistic sound to a video

📊

Data Visualization

🤖

Create a customer service chatbot

📄

Document Analysis

🌐

Translate a language in real-time