Push a ML model to Hugging Face Hub
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Push Model From Web is a tool designed to simplify the process of deploying machine learning models directly to the Hugging Face Hub. It allows users to easily share, collaborate, and manage their ML models in a centralized platform, making it ideal for developers and researchers. The tool supports popular model formats and integrates seamlessly with the Hugging Face ecosystem.
• Model Pushing: Directly push machine learning models to the Hugging Face Hub.
• Compatibility: Supports models developed in popular frameworks like PyTorch, TensorFlow, and more.
• Version Tracking: Maintain different versions of your model for easy management.
• Collaboration: Share models with team members or the public directly from the platform.
• Integration: Works seamlessly with the Hugging Face Hub, leveraging its full range of features.
pip install push-model-from-web
from push_model_from_web import PushModel
pusher = PushModel(username="your_username", token="your_token")
pusher.push(model_path="path_to_your_model", model_name="your_model_name")
What models does Push Model From Web support?
Push Model From Web supports models from popular machine learning frameworks such as PyTorch, TensorFlow, Keras, and more.
Do I need a Hugging Face account to use this tool?
Yes, you need a Hugging Face Hub account to push and manage your models. You can create a free account at huggingface.co.
How do I authenticate with the Hugging Face Hub?
You can authenticate by providing your Hugging Face username and token when initializing the PushModel class. For security, do not share your token publicly.