sander-wood
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Update code/README.md
Browse files- code/README.md +4 -0
code/README.md
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@@ -13,7 +13,9 @@ This script contains the training hyperparameters and file paths used in the `tr
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This script utilizes the pre-trained CLaMP 2 model to extract representations of text (.txt) or music (.abc or .mtf) from a specified input folder and save the features to a target output folder in `.npy` format. The extracted features can be normalized for semantic search or retain temporal information for classification tasks.
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**Usage:**
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It supports multi-GPU processing with `accelerate launch` for efficient extraction across multiple GPUs.
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```bash
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accelerate launch extract_clamp2.py <input_dir> <output_dir> [--normalize]
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```
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@@ -25,7 +27,9 @@ accelerate launch extract_clamp2.py <input_dir> <output_dir> [--normalize]
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This script employs the pre-trained M3 model to extract representations in interleaved ABC notation and MIDI Text Format (MTF) from the specified input folder, saving the features to the target folder as `.npy` files.
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**Usage:**
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It supports multi-GPU processing with `accelerate launch` for efficient extraction across multiple GPUs.
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```bash
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accelerate launch extract_m3.py <input_dir> <output_dir>
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```
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This script utilizes the pre-trained CLaMP 2 model to extract representations of text (.txt) or music (.abc or .mtf) from a specified input folder and save the features to a target output folder in `.npy` format. The extracted features can be normalized for semantic search or retain temporal information for classification tasks.
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**Usage:**
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It supports multi-GPU processing with `accelerate launch` for efficient extraction across multiple GPUs.
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```bash
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accelerate launch extract_clamp2.py <input_dir> <output_dir> [--normalize]
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```
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This script employs the pre-trained M3 model to extract representations in interleaved ABC notation and MIDI Text Format (MTF) from the specified input folder, saving the features to the target folder as `.npy` files.
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**Usage:**
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It supports multi-GPU processing with `accelerate launch` for efficient extraction across multiple GPUs.
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```bash
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accelerate launch extract_m3.py <input_dir> <output_dir>
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```
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