Find and download models from Hugging Face
Display leaderboard for earthquake intent classification models
Display and filter leaderboard models
View and submit LLM benchmark evaluations
Evaluate reward models for math reasoning
Search for model performance across languages and benchmarks
Track, rank and evaluate open LLMs and chatbots
Compare model weights and visualize differences
Compare LLM performance across benchmarks
Display LLM benchmark leaderboard and info
Load AI models and prepare your space
Evaluate model predictions with TruLens
Compare audio representation models using benchmark results
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.