transformers-convert
CommunityConvert PyTorch models to Transformers-ready.
Software Engineering#pytorch#huggingface#transformers#model-conversion#pretrained-config#image-processor
Authorshunk031
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Convert custom PyTorch models into Hugging Face Transformers-compatible artifacts, enabling seamless deployment and reuse across ecosystems.
Core Features & Use Cases
- Generate PretrainedConfig and PreTrainedModel wrappers to capture architecture in a reusable, configurable format.
- Create ImageProcessor/Tokenizer components and provide a path to Hub upload preparation for sharing models.
- Include compatibility tests to verify equivalence with the original implementation and ensure reliable deployment in production.
Quick Start
Provide the path to your PyTorch model and run the converter to generate a Transformers-compatible config, model, and processor.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
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Please help me install this Skill: Name: transformers-convert Download link: https://github.com/shunk031/dotfiles/archive/main.zip#transformers-convert Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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