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To use the pretrained models from this hub, you can use the `huggingface_hub` library to download the files into the correct directory structure within your local `pretrained_models` folder.
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**Example:
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Make sure you have `huggingface-hub` installed (`pip install huggingface-hub`). Then run the following command from your terminal:
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This command will download the entire repository contents into a local folder named `pretrained_models`, preserving the required directory structure. You can then proceed with the instructions in our GitHub repository.
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## Citation
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If you find our work useful, please cite our paper:
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To use the pretrained models from this hub, you can use the `huggingface_hub` library to download the files into the correct directory structure within your local `pretrained_models` folder.
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**Example: Using the Terminal (Downloads all models at once)**
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Make sure you have `huggingface-hub` installed (`pip install huggingface-hub`). Then run the following command from your terminal:
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This command will download the entire repository contents into a local folder named `pretrained_models`, preserving the required directory structure. You can then proceed with the instructions in our GitHub repository.
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**Example: Within Python Code (Automatic Download)**
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You can also use the `huggingface_hub` library to download the models programmatically:
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```python
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from huggingface_hub import snapshot_download, hf_hub_download
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# download entire repo
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filepath = snapshot_download(repo_id="Moon-bow/DPoser-X")
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# download one file
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filepath = hf_hub_download(repo_id="Moon-bow/DPoser-X", filename="body/BaseMLP/last.ckpt")
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```
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## Citation
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If you find our work useful, please cite our paper:
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