"facebook/dino-vitb16" # pre-trained model from which to fine-tune

"Graphcore/vit-base-ipu" # config specific to the IPU (Used POD4)

Using: https://github.com/graphcore/Gradient-HuggingFace/tree/main/image-classification

Run the notebook in Gradient, make sure to upload the .ipynb file from this repository:

Poplar SDK: v3.2.1

Dataset:

load a custom dataset from local/remote files or folders using the ImageFolder feature option 1: local/remote files (supporting the following formats: tar, gzip, zip, xz, rar, zstd) url = "https://madm.dfki.de/files/sentinel/EuroSAT.zip" files = list(Path(dataset_dir).rglob("EuroSAT.zip"))