Upload ML model to Hugging Face Hub
View LLM Performance Leaderboard
Upload a machine learning model to Hugging Face Hub
Request model evaluation on COCO val 2017 dataset
Convert Hugging Face models to OpenVINO format
Display benchmark results
View and compare language model evaluations
Measure BERT model performance using WASM and WebGPU
Benchmark AI models by comparison
Calculate memory needed to train AI models
Display leaderboard of language model evaluations
Create and manage ML pipelines with ZenML Dashboard
Rank machines based on LLaMA 7B v2 benchmark results
Push Model From Web is a tool designed for model benchmarking, enabling users to easily upload and manage machine learning models directly to the Hugging Face Hub. It simplifies the process of deploying and evaluating ML models, making it accessible for developers and researchers alike. The tool supports various machine learning frameworks and model types, providing a seamless experience for model sharing and collaboration.
• Model Deployment: Directly upload your machine learning model to Hugging Face Hub for easy access and sharing.
• Framework Support: Compatible with popular frameworks such as TensorFlow, PyTorch, and more.
• Model Benchmarking: Compare performance metrics of different models in a centralized environment.
• Community Integration: Share models with the broader machine learning community for feedback and collaboration.
• Version Control: Track different versions of your model for iterative development and testing.
1. What is the primary purpose of Push Model From Web?
The primary purpose is to simplify the deployment and sharing of machine learning models to the Hugging Face Hub, enabling benchmarking and collaboration.
2. Which machine learning frameworks are supported?
Push Model From Web supports models from popular frameworks like TensorFlow, PyTorch, and others, ensuring compatibility with a wide range of ML workflows.
3. Where are the uploaded models stored?
Uploaded models are stored on the Hugging Face Hub, a cloud-based platform designed for sharing and managing machine learning models.