Display leaderboard for earthquake intent classification models
Display model benchmark results
View and submit language model evaluations
Convert Hugging Face models to OpenVINO format
Browse and filter machine learning models by category and modality
Find and download models from Hugging Face
View LLM Performance Leaderboard
Convert PaddleOCR models to ONNX format
Evaluate adversarial robustness using generative models
Track, rank and evaluate open LLMs and chatbots
Launch web-based model application
Display and submit language model evaluations
Leaderboard of information retrieval models in French
Intent Leaderboard V12 is a specialized tool designed for benchmarking and comparing earthquake intent classification models. It provides a comprehensive platform to evaluate and rank the performance of different models, helping researchers and developers identify top-performing solutions.
• Leaderboard Display: Visualizes the performance of earthquake intent classification models in a ranked format.
• Performance Tracking: Monitors the accuracy and effectiveness of models over time.
• Comparison Tools: Enables side-by-side comparison of model performance metrics.
• Real-Time Updates: Reflects the latest improvements and updates in model benchmarking.
• Detailed Metrics: Provides in-depth insights into model strengths and weaknesses.
What is Intent Leaderboard V12 used for?
Intent Leaderboard V12 is used to benchmark and compare earthquake intent classification models, helping users identify the best-performing models for their applications.
How are models evaluated on the leaderboard?
Models are evaluated based on their accuracy, precision, recall, and other relevant metrics for earthquake intent classification tasks.
Can I use Intent Leaderboard V12 for real-time data?
Yes, Intent Leaderboard V12 supports real-time updates, allowing users to evaluate models with the most current data available.