Find and download models from Hugging Face
Convert PyTorch models to waifu2x-ios format
Create and manage ML pipelines with ZenML Dashboard
Display model benchmark results
Measure BERT model performance using WASM and WebGPU
Compare model weights and visualize differences
View RL Benchmark Reports
Browse and submit language model benchmarks
Upload a machine learning model to Hugging Face Hub
Explain GPU usage for model training
Browse and filter machine learning models by category and modality
Explore and submit models using the LLM Leaderboard
Create and upload a Hugging Face model card
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.