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Add your machine learning model to the ML Bridge platform

1

Basic Info

2

Technical Details

3

Upload Model

4

Review & Submit

Basic Information

Start by providing basic information about your model. This information will help users discover and understand your model's purpose.

Model Information

Provide essential details about your AI model

Model Name*

Choose a clear, descriptive name (minimum 3 characters)

Description*

A thorough description helps users decide if your model fits their needs (minimum 10 characters)

0/500

Category*

Select the category that best describes your model

Tips for a Great Model Description

Include the model architecture and framework (e.g., TensorFlow, PyTorch)
Describe the training data and any biases to be aware of
List key use cases and performance metrics
Choose the most specific category that matches your model's primary purpose
Use semantic versioning (e.g., 1.0.0) for better version management
Mention any specific hardware or software requirements

Registration Guide

Why register a model?

Registering your model makes it available for computation tasks and allows you to earn rewards when others use it.

Registration Process

Fill in basic information about your model
Provide technical details and version
Upload your model or provide access method
Review and submit to the blockchain

Requirements

Connected wallet with sufficient funds
Detailed model description
Model file or access method (IPFS, URL, etc.)

Need Help?

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