modeluploadhelper 0.1.1

A tool for uploading models to HuggingFace and ModelScope

Model Uploader

A Python tool for uploading models to both HuggingFace Hub and ModelScope.

Features

• 🚀 Upload to HuggingFace Hub and ModelScope simultaneously
• 📦 Automatically reads .gitignore to intelligently skip unwanted files
• 🔧 Flexible CLI configuration with selective platform upload
• 📝 Detailed logging with real-time progress and status updates
• 🌍 Automatic language detection (English/Chinese)
• 🎯 Modular design, easy to integrate into other projects

Installation

From PyPI (Recommended)

pip install modeluploader

From Source

git clone https://github.com/Maicarons/modeluploader.git
cd modeluploader
pip install .

Development Mode

git clone https://github.com/Maicarons/modeluploader.git
cd modeluploader
pip install -e ".[dev]"

Quick Start

1. Prerequisites

Before using, ensure:

• huggingface_hub and modelscope libraries are installed
• Logged in to HuggingFace: huggingface-cli login
• Logged in to ModelScope: modelscope login or have access token ready

2. Configure Repository IDs (Three Ways)

Method 1: Command-line Arguments (Recommended)

modeluploader --hf-repo your_username/hf_repo --ms-repo your_username/ms_repo

Method 2: Environment Variables

# Windows
set MODELUPLOADER_HF_REPO=your_username/hf_repo
set MODELUPLOADER_MS_REPO=your_username/ms_repo
set MODELUPLOADER_REPO_TYPE=model
set MODELUPLOADER_COMMIT_MESSAGE="Upload model files"

# Linux/macOS
export MODELUPLOADER_HF_REPO=your_username/hf_repo
export MODELUPLOADER_MS_REPO=your_username/ms_repo
export MODELUPLOADER_REPO_TYPE=model
export MODELUPLOADER_COMMIT_MESSAGE="Upload model files"

modeluploader

Method 3: Python API

from modeluploader import upload_to_huggingface, upload_to_modelscope

# Pass repo_id directly
upload_to_huggingface("./model", repo_id="your_username/hf_repo")
upload_to_modelscope("./model", repo_id="your_username/ms_repo")

3. Basic Usage

# Upload to both platforms (default)
modeluploader --hf-repo user/repo1 --ms-repo user/repo2

# Upload dataset with custom commit message
modeluploader \
  --hf-repo user/dataset_repo \
  --ms-repo user/dataset_repo \
  --repo-type dataset \
  --commit-message "Upload training dataset v1.0"

# Upload to HuggingFace only
modeluploader --platform hf --hf-repo user/repo1

# Upload to ModelScope only
modeluploader --platform ms --ms-repo user/repo2

# Specify upload directory
modeluploader --hf-repo user/repo1 --path /path/to/your/model

# Use ModelScope token
modeluploader --ms-repo user/repo2 --ms-token YOUR_TOKEN

4. Command-Line Arguments

Argument	Description	Default
--platform	Select platform: hf, ms, both	both
--path	Path to folder to upload	. (current directory)
--hf-repo	HuggingFace repository ID (format: username/repo_name)	Required
--ms-repo	ModelScope repository ID (format: username/repo_name)	Required
--repo-type	Repository type: model, dataset, or space	model
--commit-message	Commit message for the upload	Upload model files
--gitignore	Path to .gitignore file	.gitignore
--ms-token	ModelScope access token (optional)	None

5. Using as Python Module

from modeluploader import (
    upload_to_huggingface,
    upload_to_modelscope,
    load_gitignore_patterns
)

# Load ignore patterns
ignore_patterns = load_gitignore_patterns(".gitignore")

# Upload to HuggingFace
success_hf = upload_to_huggingface(
    folder_path="./my_model",
    ignore_patterns=ignore_patterns
)

# Upload to ModelScope
success_ms = upload_to_modelscope(
    folder_path="./my_model",
    token="your_token",  # Optional
    ignore_patterns=ignore_patterns
)

if success_hf and success_ms:
    print("All uploads successful!")

Configuration

Environment Variables

You can set default configuration via environment variables:

• MODELUPLOADER_HF_REPO: HuggingFace repository ID
• MODELUPLOADER_MS_REPO: ModelScope repository ID
• MODELUPLOADER_REPO_TYPE: Repository type (model, dataset, or space)
• MODELUPLOADER_COMMIT_MESSAGE: Commit message for uploads

Command-line arguments override environment variables.

Priority Order

Configuration priority (highest to lowest):

1. Command-line arguments (--hf-repo, --ms-repo, --repo-type, --commit-message)
2. Environment variables (MODELUPLOADER_*)
3. Direct parameters in code API calls

.gitignore Support

The tool automatically reads rules from .gitignore file and ignores:

• Python cache files (__pycache__/, *.pyc)
• Virtual environments (venv/, .env)
• IDE configuration files (.idea/, .vscode/)
• Build artifacts (build/, dist/)
• Other patterns defined in your .gitignore

Language Detection

The tool automatically detects your system language and displays messages in:

• English (default)
• Chinese (if system locale is Chinese)

You can also manually set the language:

from modeluploader import set_language

# Force English
set_language('en')

# Force Chinese
set_language('zh')

Project Structure

modeluploader/
├── modeluploader/
│   ├── __init__.py              # Package initialization
│   ├── __main__.py              # Support for python -m
│   ├── cli.py                   # Command-line interface
│   ├── config.py                # Configuration module
│   ├── i18n.py                  # Internationalization module
│   ├── gitignore_parser.py      # .gitignore parser
│   ├── huggingface_uploader.py  # HuggingFace upload module
│   └── modelscope_uploader.py   # ModelScope upload module
├── tests/
│   └── test_modeluploader.py    # Unit tests
├── main.py                      # Backward compatibility entry
├── pyproject.toml               # Project configuration
├── README.md                    # English documentation
├── README_zh.md                 # Chinese documentation
└── LICENSE                      # Apache 2.0 License

Development Guide

Run Tests

pytest tests/

Code Formatting

black modeluploader/
flake8 modeluploader/

Build Distribution Package

pip install build
python -m build

This generates .tar.gz and .whl files in the dist/ directory.

Publish to PyPI

# Install twine
pip install twine

# Upload to TestPyPI (testing)
twine upload --repository testpypi dist/*

# Upload to PyPI (production)
twine upload dist/*

FAQ

Q: How to upload to only one platform?

A: Use the --platform argument:

modeluploader --platform hf  # HuggingFace only
modeluploader --platform ms  # ModelScope only

Q: What if upload fails?

A: Check the following:

1. Are you properly logged in to the platform?
2. Is your network connection stable?
3. Is the repository ID correct?
4. Review the detailed error logs for troubleshooting

Q: How to customize ignored files?

A: Create or edit the .gitignore file in your project root and add patterns for files or directories to ignore.

Q: Can I configure repositories dynamically in code?

A: Yes, through these methods:

# Method 1: Pass parameters directly
from modeluploader import upload_to_huggingface

upload_to_huggingface(
    "./model",
    repo_id="user/repo",
    repo_type="dataset",
    commit_message="Custom message"
)

# Method 2: Set environment variables
import os
os.environ['MODELUPLOADER_HF_REPO'] = 'user/repo'
os.environ['MODELUPLOADER_REPO_TYPE'] = 'dataset'
os.environ['MODELUPLOADER_COMMIT_MESSAGE'] = 'Custom message'

from modeluploader import upload_to_huggingface
upload_to_huggingface("./model")

Contributing

Issues and Pull Requests are welcome!

1. Fork the repository
2. Create a feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

This project is licensed under the Apache 2.0 License - see the LICENSE file for details.

Acknowledgments

• HuggingFace Hub
• ModelScope
• All contributors

Contact

• Project Homepage: https://github.com/Maicarons/modeluploader
• Issue Tracker: https://github.com/Maicarons/modeluploader/issues