Transfer datasets from HuggingFace to ModelScope
Create and manage AI datasets for training models
Convert a model to Safetensors and open a PR
Convert PDFs to a dataset and upload to Hugging Face
Organize and process datasets efficiently
Validate JSONL format for fine-tuning
A collection of parsers for LLM benchmark datasets
Download datasets from a URL
Provide feedback on AI responses to prompts
Create and validate structured metadata for datasets
Evaluate evaluators in Grounded Question Answering
Browse and extract data from Hugging Face datasets
Build datasets using natural language
Hf2ms is a tool designed to transfer datasets from HuggingFace to ModelScope. It serves as a convenient bridge for users who need to migrate their datasets between these two popular platforms. Hf2ms simplifies the process of dataset transfer, ensuring compatibility and integrity during the migration.
• Cross-platform compatibility: Seamlessly transfer datasets between HuggingFace and ModelScope.
• User-friendly interface: Easy-to-use design for both novice and advanced users.
• Efficiency and speed: Optimized for fast dataset transfers.
• Data validation: Ensures dataset integrity during the transfer process.
• Automation support: Allows for batch processing of datasets.
• Comprehensive documentation: Extensive guides and support materials are available.
pip install Hf2ms.What is the main purpose of Hf2ms?
Hf2ms is designed to enable users to transfer datasets from HuggingFace to ModelScope efficiently and securely.
How do I ensure my data remains intact during transfer?
Hf2ms includes data validation checks to verify the integrity of the dataset during and after the transfer process.
What if I encounter issues during the transfer?
If you experience issues, check your API tokens and permissions. Ensure you have the latest version of Hf2ms installed. If problems persist, refer to the comprehensive documentation or contact support.