Convert Hugging Face model repo to Safetensors
Calculate memory needed to train AI models
Upload ML model to Hugging Face Hub
Analyze model errors with interactive pages
Retrain models for new data at edge devices
Benchmark models using PyTorch and OpenVINO
View and submit machine learning model evaluations
Compare code model performance on benchmarks
Push a ML model to Hugging Face Hub
Create demo spaces for models on Hugging Face
Export Hugging Face models to ONNX
Explain GPU usage for model training
Explore GenAI model efficiency on ML.ENERGY leaderboard
This is a tool designed to convert a Hugging Face (HF) Diffusers model repository into a single safetensors file. Safetensors is a secure alternative to PyTorch's standard .pt file format, offering better protection against malicious code execution. This conversion is particularly useful for models like SDXL, SD 1.5, and those using LoRA (Low-Rank Adaptation) fine-tuning.
.pt files.safetensors and torch..safetensors file.What is the advantage of safetensors over PyTorch .pt files?
Safetensors provides enhanced security by validating file contents before loading, reducing the risk of malicious code execution.
Do I need to modify my existing code to use safetensors?
Yes, you may need to update your code to support safetensors. Most modern libraries, including transformers and diffusers, now support safetensors natively.
Will this tool work with older versions of PyTorch?
The tool is optimized for recent versions of PyTorch and safetensors. For compatibility, ensure you are using the latest or recommended versions of the libraries.