Load AI models and prepare your space
Submit models for evaluation and view leaderboard
Convert and upload model files for Stable Diffusion
Explore and visualize diverse models
Export Hugging Face models to ONNX
View and submit LLM benchmark evaluations
Push a ML model to Hugging Face Hub
Visualize model performance on function calling tasks
Retrain models for new data at edge devices
Explore GenAI model efficiency on ML.ENERGY leaderboard
Create and upload a Hugging Face model card
Merge machine learning models using a YAML configuration file
Compare LLM performance across benchmarks
Newapi1 is a cutting-edge tool designed for Model Benchmarking, allowing users to load and prepare AI models efficiently. It provides a structured environment to manage and evaluate AI models, making it easier to optimize performance and integrate them into various applications.
• Model Loading: Easily load AI models from multiple sources and formats.
• Benchmarking Tools: Advanced features to benchmark and compare model performance.
• User-Friendly Interface: Intuitive design for seamless model preparation and analysis.
• Version Control: Track different versions of your models and their performance metrics.
• Collaboration Support: Share and collaborate on model benchmarking with team members.
• Cross-Platform Compatibility: Works with multiple AI frameworks and libraries.
What frameworks does Newapi1 support?
Newapi1 supports a wide range of popular AI frameworks, including TensorFlow, PyTorch, and Keras.
How do I interpret the benchmarking results?
Benchmarking results are displayed in an easy-to-understand format, showing metrics like inference speed, memory usage, and accuracy.
Can I use Newapi1 for models trained on different hardware?
Yes, Newapi1 is designed to work with models trained on various hardware configurations, including GPUs and TPUs.