Load AI models and prepare your space
Launch web-based model application
View LLM Performance Leaderboard
Display and filter leaderboard models
Explore and benchmark visual document retrieval models
Display and submit language model evaluations
Browse and submit model evaluations in LLM benchmarks
Submit deepfake detection models for evaluation
Merge machine learning models using a YAML configuration file
Browse and evaluate language models
Evaluate model predictions with TruLens
Download a TriplaneGaussian model checkpoint
Browse and evaluate ML tasks in MLIP Arena
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.