Upload a machine learning model to Hugging Face Hub
Generate and view leaderboard for LLM evaluations
Evaluate open LLMs in the languages of LATAM and Spain.
Push a ML model to Hugging Face Hub
Compare code model performance on benchmarks
Search for model performance across languages and benchmarks
Create and manage ML pipelines with ZenML Dashboard
Track, rank and evaluate open LLMs and chatbots
Text-To-Speech (TTS) Evaluation using objective metrics.
Evaluate LLM over-refusal rates with OR-Bench
Browse and evaluate ML tasks in MLIP Arena
Evaluate model predictions with TruLens
GIFT-Eval: A Benchmark for General Time Series Forecasting
Push Model From Web is a tool designed for model benchmarking that enables users to upload their machine learning models directly to the Hugging Face Hub. It simplifies the process of sharing, managing, and comparing model performance, making it accessible for developers and researchers alike.
• Model Upload: Easily upload your machine learning models to Hugging Face Hub. • Integration: Seamless integration with Hugging Face Hub for model management. • Versioning: Track different versions of your model for comparison. • Collaboration: Share models with team members or the broader ML community. • Performance Tracking: Benchmark your models and compare performance metrics. • Compatibility: Supports a wide range of machine learning frameworks.
What types of models can I upload?
You can upload models from popular machine learning frameworks like TensorFlow, PyTorch, and Scikit-Learn.
How does Push Model From Web help with benchmarking?
It provides tools to compare your model's performance against industry standards and other models on Hugging Face Hub.
Do I need to install any software to use Push Model From Web?
No, it is a web-based tool, so you can use it directly through your browser without any installations.