Upload a machine learning model to Hugging Face Hub
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View NSQL Scores for Models
Request model evaluation on COCO val 2017 dataset
Calculate memory needed to train AI models
Benchmark models using PyTorch and OpenVINO
Evaluate RAG systems with visual analytics
View and submit language model evaluations
Browse and filter machine learning models by category and modality
Evaluate adversarial robustness using generative models
Push a ML model to Hugging Face Hub
Display genomic embedding leaderboard
Pergel: A Unified Benchmark for Evaluating Turkish LLMs
Push Model From Web is a tool designed to simplify the process of uploading machine learning models to the Hugging Face Hub. It allows users to seamlessly share their models with the broader ML community, fostering collaboration and reproducibility.
• Model Upload: Directly upload your machine learning models to Hugging Face Hub from your local environment.
• Versioning: Track different versions of your model for better organization and experimentation.
• Integration: Compatible with Hugging Face Hub, a popular platform for AI model sharing and collaboration.
• Model Cards: Automatically generate model cards to document your model's architecture, metrics, and usage instructions.
• Privacy Control: Choose to share your model publicly or keep it private for restricted access.
huggingface_hub library using pip.What formats does Push Model From Web support?
Push Model From Web supports popular formats like PyTorch, TensorFlow, and ONNX. Ensure your model is saved in one of these formats before uploading.
Can I upload a model privately?
Yes, Push Model From Web allows you to set your model as private during the upload process. Only users with permission will be able to access it.
Where are my models stored after uploading?
Your models are stored on the Hugging Face Hub, a centralized platform for machine learning models. You can access them anytime through your Hugging Face account.