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@@ -13,6 +13,12 @@ What you can find in this repo is:
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  We highly recommend downloading the already extracted and concatenated (features)[https://huggingface.co/datasets/SimulaMet-HOST/TACDEC/resolve/main/sorted_cls_tokens_features.pt] and the concatenated (labels)[https://huggingface.co/datasets/SimulaMet-HOST/TACDEC/resolve/main/sorted_cls_tokens_labels.npy] if you wish to try the dataset/model. You would then just have to run the second notebook.
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  If you hold more interest in DINOv2, the **feature_extraction.ipynb** could hold good value.
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  We highly recommend downloading the already extracted and concatenated (features)[https://huggingface.co/datasets/SimulaMet-HOST/TACDEC/resolve/main/sorted_cls_tokens_features.pt] and the concatenated (labels)[https://huggingface.co/datasets/SimulaMet-HOST/TACDEC/resolve/main/sorted_cls_tokens_labels.npy] if you wish to try the dataset/model. You would then just have to run the second notebook.
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+ Prior to running the notebooks, make sure to have all the dependencies needed. See [requirements.txt](https://huggingface.co/SimulaMet-HOST/TACDEC-model/resolve/main/requirements.txt?download=true).
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+ When downloaded, run:
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+
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+ '''
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+ pip install -r requirements.txt
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+ '''
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  If you hold more interest in DINOv2, the **feature_extraction.ipynb** could hold good value.
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