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Fine-tuning Details
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nielsr/dinov2-base # pre-trained model from which to fine-tune
Graphcore/vit-base-ipu # config specific to the IPU (Used POD4)
Using: image_classification-dinov2-base.ipynb
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"))
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