Load AI models and prepare your space
Pergel: A Unified Benchmark for Evaluating Turkish LLMs
Display genomic embedding leaderboard
Create demo spaces for models on Hugging Face
Compare audio representation models using benchmark results
Benchmark LLMs in accuracy and translation across languages
Compare code model performance on benchmarks
Generate and view leaderboard for LLM evaluations
Evaluate RAG systems with visual analytics
Multilingual Text Embedding Model Pruner
Compare and rank LLMs using benchmark scores
Explain GPU usage for model training
Browse and filter machine learning models by category and modality
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.