Find and download models from Hugging Face
Calculate memory usage for LLM models
SolidityBench Leaderboard
Convert PaddleOCR models to ONNX format
Display and submit LLM benchmarks
Display benchmark results
Compare LLM performance across benchmarks
Explore and manage STM32 ML models with the STM32AI Model Zoo dashboard
Evaluate adversarial robustness using generative models
GIFT-Eval: A Benchmark for General Time Series Forecasting
Text-To-Speech (TTS) Evaluation using objective metrics.
Retrain models for new data at edge devices
Browse and submit language model benchmarks
Hf Model Downloads is a tool designed to help users find and download models from the Hugging Face ecosystem. It serves as a convenient gateway to access a wide range of pre-trained models, enabling developers to integrate these models into their projects seamlessly. Whether you're working on NLP, computer vision, or other AI-related tasks, this tool streamlines the process of model discovery and deployment.
How do I use Hf Model Downloads?
Hf Model Downloads allows you to search, filter, and download models from the Hugging Face ecosystem. Simply access the tool, search or browse for the model you need, and follow the provided instructions to download and integrate it.
Are the models compatible with my framework?
Yes, Hf Model Downloads supports a wide range of frameworks and libraries, including PyTorch, TensorFlow, and others. Use the filtering options to select models compatible with your preferred framework.
How can I find the best-performing model for my task?
Use the benchmarking feature to compare model performance on specific tasks or datasets. You can also sort models by metrics to identify top-performing options for your use case.