Push a ML model to Hugging Face Hub
Merge machine learning models using a YAML configuration file
Calculate VRAM requirements for LLM models
Browse and submit LLM evaluations
View RL Benchmark Reports
Evaluate adversarial robustness using generative models
View LLM Performance Leaderboard
Evaluate code generation with diverse feedback types
Create demo spaces for models on Hugging Face
Merge Lora adapters with a base model
Determine GPU requirements for large language models
Browse and evaluate ML tasks in MLIP Arena
Evaluate AI-generated results for accuracy
Push Model From Web is a tool designed to streamline the process of deploying machine learning models directly to the Hugging Face Hub. This service allows users to seamlessly push their trained models to the cloud, enabling easy sharing, collaboration, and deployment. It simplifies the model management workflow and integrates seamlessly with the Hugging Face ecosystem.
• Easy Model Deployment: Quickly upload trained models to the Hugging Face Hub. • Direct Integration: Native support for Hugging Face model repositories. • Web-Based Interface: Manage model uploads directly from your browser. • Version Control: Track different versions of your models. • Collaboration: Share models with team members or the public. • Cross-Framework Support: Works with popular ML frameworks such as TensorFlow, PyTorch, and more. • Automatic Documentation: Generate model documentation automatically.
pip install push-model-from-web
from push_model_from_web import push_model
export HF_TOKEN='your_token_here'
model = ... # Load your trained model
push_model(model, repo_id="your_repo_name", model_name="your_model_name")
What is the Hugging Face Hub?
The Hugging Face Hub is a platform for sharing, deploying, and collaborating on machine learning models. It provides version control and access management for your models.
How do I access my Hugging Face token?
Log in to your Hugging Face account, go to your profile settings, and generate a new token under the security section.
What types of models can I push?
You can push models from popular frameworks like TensorFlow, PyTorch, and others. The tool supports most standard ML model formats.
Can I push models privately?
Yes, you can set access controls when pushing your model. Choose between private, public, or controlled access for your repository.
Is there a limit to the number of models I can push?
The number of models you can push depends on your Hugging Face account limits, such as storage and usage restrictions.