Add library_name and metadata

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by nielsr HF Staff - opened
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  1. README.md +15 -14
README.md CHANGED
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  ---
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- license: cc-by-nc-4.0
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  language:
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  - zh
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  - en
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  - ja
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  - ko
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  - es
 
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  pipeline_tag: automatic-speech-recognition
 
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  tags:
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  - music
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  - art
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  ---
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  ## Model Details
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  ### Model Description
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- <!-- Provide a longer summary of what this model is. -->
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- - **Developed by:** [Ario Scale Global]
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- - **License:** [CC-BY-NC 4.0]
 
 
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  ### Model Sources
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- <!-- Provide the basic links for the model. -->
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-
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  - **Github Repo:** https://github.com/HeartMuLa/heartlib
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  - **Paper:** https://arxiv.org/abs/2601.10547
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  - **Demo:** https://heartmula.github.io/
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- - **HeartMuLa-oss-3B:** https://huggingface.co/HeartMuLa/HeartMuLa-oss-3B
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- - **HeartCodec-oss:** https://huggingface.co/HeartMuLa/HeartCodec-oss
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- - **HeartTranscriptor-oss:** https://huggingface.co/HeartMuLa/HeartTranscriptor-oss
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-
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  ## Get Started
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- Check our github repo https://github.com/HeartMuLa/heartlib for a quickstart and local deployment of HeartMuLa.
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  ## Citation
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- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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- If you find HeartMuLa useful, please cite:
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  ```bibtex
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  @misc{yang2026heartmulafamilyopensourced,
@@ -55,6 +57,5 @@ If you find HeartMuLa useful, please cite:
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  }
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  ```
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-
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  ## Contact
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  If you are interested in HeartMuLa, feel free to reach us at heartmula.ai@gmail.com
 
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  ---
 
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  language:
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  - zh
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  - en
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  - ja
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  - ko
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  - es
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+ license: cc-by-nc-4.0
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  pipeline_tag: automatic-speech-recognition
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+ library_name: transformers
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  tags:
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  - music
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  - art
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  ---
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+ # HeartTranscriptor-oss
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+
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+ HeartTranscriptor is a robust lyric recognition model optimized for real-world music scenarios, part of the **HeartMuLa** family of Music Foundation Models.
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  ## Model Details
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  ### Model Description
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+ HeartTranscriptor is a Whisper-based model specifically fine-tuned for lyric transcription across multiple languages. It is designed to handle the complexities of real-world music, where vocals are often mixed with rich instrumental backgrounds. It supports languages including but not limited to English, Chinese, Japanese, Korean, and Spanish.
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+ - **Developed by:** Ario Scale Global
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+ - **Model Type:** Whisper-based lyric transcription
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+ - **Language(s):** English, Chinese, Japanese, Korean, Spanish
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+ - **License:** [CC-BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/)
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  ### Model Sources
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  - **Github Repo:** https://github.com/HeartMuLa/heartlib
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  - **Paper:** https://arxiv.org/abs/2601.10547
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  - **Demo:** https://heartmula.github.io/
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+ - **Related Models:**
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+ - [HeartMuLa-oss-3B](https://huggingface.co/HeartMuLa/HeartMuLa-oss-3B)
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+ - [HeartCodec-oss](https://huggingface.co/HeartMuLa/HeartCodec-oss)
 
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  ## Get Started
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+ Check the GitHub repository [HeartMuLa/heartlib](https://github.com/HeartMuLa/heartlib) for a quickstart guide and local deployment instructions. Usage examples for HeartTranscriptor can be found in the `examples` directory of the repository.
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  ## Citation
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+ If you find HeartMuLa or HeartTranscriptor useful, please cite:
 
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  ```bibtex
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  @misc{yang2026heartmulafamilyopensourced,
 
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  }
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  ```
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  ## Contact
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  If you are interested in HeartMuLa, feel free to reach us at heartmula.ai@gmail.com