Upload ML model to Hugging Face Hub
Find recent high-liked Hugging Face models
Calculate memory usage for LLM models
Create and manage ML pipelines with ZenML Dashboard
Calculate survival probability based on passenger details
Explore and visualize diverse models
SolidityBench Leaderboard
Measure BERT model performance using WASM and WebGPU
Leaderboard of information retrieval models in French
Browse and submit LLM evaluations
Measure execution times of BERT models using WebGPU and WASM
Display LLM benchmark leaderboard and info
Evaluate AI-generated results for accuracy
Push Model From Web is a tool designed for Model Benchmarking that simplifies the process of uploading machine learning models to the Hugging Face Hub. It provides a seamless interface for model sharing, collaboration, and version control, making it easier for data scientists and developers to manage their ML models in a centralized platform.
What frameworks are supported by Push Model From Web?
Push Model From Web supports models from popular frameworks like PyTorch, TensorFlow, and Keras.
How do I handle large model files?
For large models, consider using model compression or splitting the model into smaller parts before uploading.
Where are my models stored after upload?
Your models are stored on the Hugging Face Hub, which provides cloud-based storage and version control for your machine learning models.