Load AI models and prepare your space
Create demo spaces for models on Hugging Face
Compare code model performance on benchmarks
Optimize and train foundation models using IBM's FMS
Compare LLM performance across benchmarks
Benchmark AI models by comparison
Evaluate AI-generated results for accuracy
Evaluate RAG systems with visual analytics
Evaluate code generation with diverse feedback types
Explore and visualize diverse models
GIFT-Eval: A Benchmark for General Time Series Forecasting
Pergel: A Unified Benchmark for Evaluating Turkish LLMs
Generate and view leaderboard for LLM evaluations
Newapi1 is a lightweight yet powerful API designed for Model Benchmarking. It allows users to load AI models and prepare their environment efficiently. With its user-friendly interface and flexible functionality, Newapi1 simplifies the process of working with AI models, making it an ideal tool for developers and researchers alike.
• Model Loading: Easily load and manage AI models for benchmarking.
• Environment Preparation: Automatically configures the necessary dependencies for model execution.
• Benchmarking Capabilities: Provides tools to measure model performance and efficiency.
• Cross-Compatibility: Supports a wide range of AI models and frameworks.
• Automation: Streamlines repetitive tasks, saving time and effort.
• Resource Optimization: Ensures efficient use of computational resources during benchmarking.
What does Newapi1 do?
Newapi1 is designed to load AI models and prepare the environment for benchmarking, enabling efficient evaluation and optimization of model performance.
Is Newapi1 compatible with all AI models?
Newapi1 supports a wide range of AI models and frameworks, but compatibility may vary depending on the specific model and its requirements.
How do I get started with Newapi1?
Start by installing the required dependencies, import Newapi1 into your project, and follow the initialization steps to load and benchmark your models.