Are you ready to dive into the world of Machine Learning and build your portfolio? Let’s start with Hugging Face (HF), an online platform that fosters collaboration in the ML community.
What is Hugging Face?
Hugging Face is a user-friendly platform where individuals can come together to work on Machine Learning projects collaboratively.
Start your journey by visiting huggingface.co and accessing Hugging FaceHub after signing in.
What does HF Hub offer?
HF Hub boasts a vast collection of over 900k models, 200k datasets, and 300k demo apps (Spaces), serving as a one-stop platform for all your Machine Learning needs.
The platform provides a plethora of models and datasets for users to explore and utilize in their projects.
Spaces
Spaces on HF Hub offer a convenient way to create and host ML demo apps, empowering users to showcase their work, collaborate with others, and expand their ML portfolio.
Two Python SDKs, Gradio and Streamlit, are available for building apps quickly on the platform.
All models, datasets, and spaces are stored in git repositories, ensuring easy access and management.
Git
To utilize git effectively, make sure to download Git and Git LFS to handle larger files like images and model weights.
For more detailed documentation and resources, visit Hugging Face Documentation.