This is the Hugging Face for Adian Khair Oellegaard, Jens Gorm Rytter, Markus Bligaard Winther, Phillip Nordfang, Silas Larsen. Here, we can structure and connect our work.

This repository is for the Applied Machine Learning 2025- Antarctic ice sheet ice thickness project. A parquet datafile of different icesheet thickness measurements along with other features is made in the create_bedmap_dataset.ipynb file. Our ML models should be compared to the glaciological model BedMachine v3.7 which thickness predictions are given in the datafile in the column: 'ith_bm'.

(Note: The datafiles are uploaded to a separate repository, called finalprojectdata)

(Note: The placement of our datafiles and code files might be different and so you might have to change paths in the code)

Step 0: Make sure you have a Hugging Face account where finalprojectantarctis is shared with you.

Step 1: Go to the folder where you want the code stored.

Step 2: Open Git Bash in this folder and write:

pip install huggingface_hub

Step 3: Generate a key for your account On Hugging Face go to settings->Access Tokens: Then give the key a name and select write role.

Step 4: Login to Huggin Face user through git bash: huggingface-cli login

Step 5: Clone repository git clone https://huggingface.co/finalprojectantarctis/Code

Upload/Update code file: git add git commit -m "quick description of update" git push

Download code files: git pull

(Ask ChatGPT (or someone in the group) if you get stuck)

You can also download and add files to the repository through a browser with the link: https://huggingface.co/finalprojectantarctis/Code/edit/main/README.md

Adian Khair Oellegaard Jens Gorm Rytter Markus Bligaard Winther Phillip Nordfang Silas Larsen

Inspiration, code snippets, etc.