init commit

LICENSE

@@ -0,0 +1,390 @@
+Tencent is pleased to support the open source community by making SongPrep available.
+
+Copyright (C) 2025 Tencent.  All rights reserved. The below components in this distribution may have been modified by Tencent ("Tencent Modifications"). All Tencent Modifications are Copyright (C) Tencent.
+
+SongPrep is licensed under the License Terms of SongPrep except for the third-party components listed below, which is licensed under different terms. SongPrep does not impose any additional limitations beyond what is outlined in the respective licenses of these third-party components. Users must comply with all terms and conditions of original licenses of these third-party components and must ensure that the usage of the third party components adheres to all relevant laws and regulations. 
+
+In case you believe there have been errors in the attribution below, you may submit the concerns to us for review and correction. 
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+For avoidance of doubts, SongPrep refers to the inference-enabling code, parameters and weights made publicly available by Tencent in accordance with the License Terms of SongPrep.
+
+License Terms of SongPrep:
+--------------------------------------------------------------------
+Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
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+- You agree to use the SongPrep only for academic purposes, and refrain from using it for any commercial or production purposes under any circumstances.
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+The SongPrep parameters and weights were fine-tuned based on the following models licensed under Apache-2.0:
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+1.Qwen2-7B
+Copyright 2024 Alibaba Cloud.
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+Copyright (c) 2011-2014 Idiap Research Institute (Ronan Collobert)
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README.md

@@ -1,3 +1,42 @@
 ---
-license: apache-2.0
+language:
+- zh
+- en
+pipeline_tag: automatic-speech-recognition
 ---
+
+# SongPrep
+
+<p align="center"><img src="img/logo.jpg" width="40%"></p>
+<p align="center">
+    <a href="https://song-prep.github.io/demo/">Demo</a> &nbsp;|&nbsp; <a href="https://arxiv.org/abs/2509.17404">Paper</a>  &nbsp;|&nbsp; <a href="https://github.com/tencent-ailab/songprep">Code</a>  &nbsp;|&nbsp; <a href="https://huggingface.co/datasets/waytan22/SSLD-200">Dataset</a>
+</p>
+
+This repository is the official weight repository for SongPrep: A Preprocessing Framework and End-to-end Model for Full-song Structure Parsing and Lyrics Transcription. In this repository, we provide the SongPrep-7B model that has been trained on the Million Song Dataset.
+
+
+## Model Versions
+
+|          Model           |          #Params           |                         HuggingFace                          |
+| :----------------------: | :----------------------: | :---------------------------------------------------: |
+|  SongPrep | 7B |you are here  |
+
+
+## Citation
+
+```
+@misc{tan2025songpreppreprocessingframeworkendtoend,
+      title={SongPrep: A Preprocessing Framework and End-to-end Model for Full-song Structure Parsing and Lyrics Transcription}, 
+      author={Wei Tan and Shun Lei and Huaicheng Zhang and Guangzheng Li and Yixuan Zhang and Hangting Chen and Jianwei Yu and Rongzhi Gu and Dong Yu},
+      year={2025},
+      eprint={2509.17404},
+      archivePrefix={arXiv},
+      primaryClass={eess.AS},
+      url={https://arxiv.org/abs/2509.17404}, 
+}
+```
+
+
+## License
+
+The code and weights in this repository is released in the [LICENSE](LICENSE)  file.

config.json

@@ -0,0 +1,27 @@
+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "hidden_act": "silu",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 18944,
+  "max_position_embeddings": 131072,
+  "max_window_layers": 28,
+  "model_type": "qwen2",
+  "num_attention_heads": 28,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 4,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 1000000.0,
+  "sliding_window": 131072,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.37.2",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 168040
+}

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