Upload ML models to Hugging Face Hub from your browser
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Load and activate a pre-trained model
One-Stop Gemma Model Fine-tuning, Quantization & Conversion
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Set up and launch an application from a GitHub repo
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Push Model From Web is a Fine Tuning Tool designed to simplify the process of uploading machine learning models directly to the Hugging Face Hub from your web browser. It provides a seamless way to manage and share your ML models with the community, eliminating the need for complex command-line operations or external tools.
• Direct Upload: Upload your ML models directly from your browser to Hugging Face Hub.
• Model Compatibility: Supports a wide range of machine learning model formats.
• User-Friendly Interface: Intuitive design for easy navigation and model management.
• Version Tracking: Keep track of different versions of your models.
• Collaboration: Share models with team members or the public effortlessly.
• Cross-Browser Compatibility: Works smoothly on all major web browsers.
What file formats are supported by Push Model From Web?
push_model_from_web supports common machine learning model formats, including PyTorch (.pt), TensorFlow (.h5), ONNX, and others. For a full list, check the tool's documentation.
Do I need a Hugging Face Hub account to use Push Model From Web?
yes, you need to be logged in to your Hugging Face Hub account to upload models using Push Model From Web. If you don’t have an account, you can create one for free on the Hugging Face website.
Where are my models stored after uploading through Push Model From Web?
your models are stored on the Hugging Face Hub, a popular platform for sharing and managing machine learning models. You can access them anytime through your Hugging Face account.