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@@ -74,4 +74,16 @@ python clamp.py -clamp_model_name sander-wood/clamp-small-512 -query_modal text
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  ```
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  Note that the first time you run the CLaMP script, it will automatically download the model checkpoint from Hugging Face. This may take a few minutes, depending on your internet speed.
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- 7. After running the command, the script will generate a list of the top results for the given query. Each result correspond to a music file in the `music_keys` folder or a line in the `text_keys.txt` file, depending on the type of key modal you used.
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
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  Note that the first time you run the CLaMP script, it will automatically download the model checkpoint from Hugging Face. This may take a few minutes, depending on your internet speed.
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+ 7. After running the command, the script will generate a list of the top results for the given query. Each result correspond to a music file in the `music_keys` folder or a line in the `text_keys.txt` file, depending on the type of key modal you used.
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+
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+ ## BibTeX entry and citation info
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+ ```
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+ @misc{wu2023clamp,
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+ title={CLaMP: Contrastive Language-Music Pre-training for Cross-Modal Symbolic Music Information Retrieval},
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+ author={Shangda Wu and Dingyao Yu and Xu Tan and Maosong Sun},
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+ year={2023},
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+ eprint={2304.11029},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.SD}
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+ }
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+ ```