Upload ML model to Hugging Face Hub
Calculate survival probability based on passenger details
Measure BERT model performance using WASM and WebGPU
Run benchmarks on prediction models
Create demo spaces for models on Hugging Face
Retrain models for new data at edge devices
SolidityBench Leaderboard
Browse and submit LLM evaluations
View and compare language model evaluations
Benchmark LLMs in accuracy and translation across languages
Rank machines based on LLaMA 7B v2 benchmark results
Display benchmark results
Submit deepfake detection models for evaluation
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.