Load AI models and prepare your space
Upload a machine learning model to Hugging Face Hub
Measure execution times of BERT models using WebGPU and WASM
Download a TriplaneGaussian model checkpoint
Browse and submit LLM evaluations
View and submit machine learning model evaluations
Upload ML model to Hugging Face Hub
Compare audio representation models using benchmark results
Convert Stable Diffusion checkpoint to Diffusers and open a PR
SolidityBench Leaderboard
Retrain models for new data at edge devices
Calculate memory needed to train AI models
Evaluate RAG systems with visual analytics
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.