Convert and upload model files for Stable Diffusion
Text-To-Speech (TTS) Evaluation using objective metrics.
Browse and submit language model benchmarks
View and submit machine learning model evaluations
Optimize and train foundation models using IBM's FMS
Explore and benchmark visual document retrieval models
Display genomic embedding leaderboard
Display and filter leaderboard models
Browse and submit LLM evaluations
Convert PaddleOCR models to ONNX format
Compare model weights and visualize differences
View LLM Performance Leaderboard
Multilingual Text Embedding Model Pruner
Converter is a model benchmarking tool designed to simplify the process of converting and uploading model files for Stable Diffusion. It allows users to easily handle model file conversions, optimize them for performance, and upload them for benchmarking. Converter serves as an essential utility for those working with AI models, ensuring compatibility and efficiency in model deployment.
What formats does Converter support?
Converter supports a wide range of model file formats, including but not limited to TensorFlow, PyTorch, and ONNX.
Can I use Converter for models not related to Stable Diffusion?
While Converter is optimized for Stable Diffusion, it can handle other models. However, certain advanced features may only be available for Stable Diffusion models.
How long does the conversion process typically take?
Conversion time varies depending on the size and complexity of the model. Larger models may require more time, but Converter is designed to optimize conversion speed.