ML for 3D Course documentation

Run locally

ML for 3D Course

Join the Hugging Face community

and get access to the augmented documentation experience

Collaborate on models, datasets and Spaces

Faster examples with accelerated inference

Switch between documentation themes

to get started

Run locally

The instructions below are tested on an RTX 4090 on WSL2 Ubuntu 22.04. Instructions will differ and may not work, depending on your setup.

Install git, python 3.10, and cuda if not already installed.
Open your terminal.
Clone your space repository, replacing the URL below with your space URL.

git clone https://huggingface.co/spaces/dylanebert/LGM-tiny

Navigate into the space folder.

cd LGM-tiny

Create a virtual environment and install necessary dependencies.

python -m venv venv
source venv/bin/activate
pip install -r requirements.txt

Run the demo.

python app.py

< > Update on GitHub

←Run in notebook Run via API→