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Datature Vi SDK

Project description

Python SDK for Datature Vi

PyPI version Python Versions License

The official Python SDK for Datature Vi - a powerful platform for vision-language model training and inference.

🚀 Installation

pip install vi-sdk

For inference capabilities:

pip install vi-sdk[inference]

📖 Documentation

Visit our comprehensive documentation at vi.developers.datature.com

🎯 Quick Start

import vi

# Initialize client
client = vi.Client()

# List datasets
datasets = client.datasets.list()
for dataset in datasets:
    print(f"Dataset: {dataset.name}")

✨ Features

  • Dataset Management: Create, upload, and manage datasets
  • Asset Operations: Batch upload and download with progress tracking
  • Annotations: JSONL format support for captions and grounding
  • Model Training: Track runs and manage trained models
  • Inference: Local VLM inference (Qwen2.5-VL, NVILA)
  • Dataset Loaders: PyTorch-compatible data loading utilities

📝 License

Apache License 2.0 - see LICENSE file for details.

🤝 Contributing

See CONTRIBUTING.md for contribution guidelines.

Development Setup

We use pre-commit hooks to ensure code quality:

# Install dependencies
uv sync --all-extras

# Install pre-commit hooks
uv run pre-commit install

# Verify setup
uv run pre-commit run --all-files

📖 Documentation:

🐛 Issues

Report issues on GitHub Issues

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