Instructions to use hcX02/echora-moss-0.9b-multilingual-lyrics-transcriber with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hcX02/echora-moss-0.9b-multilingual-lyrics-transcriber with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hcX02/echora-moss-0.9b-multilingual-lyrics-transcriber", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("hcX02/echora-moss-0.9b-multilingual-lyrics-transcriber", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Echora MOSS 0.9B Multilingual Lyrics Transcriber
A multilingual audio-to-text model for generating lyric text and approximate line timestamps from music audio. No supplied lyric text is required.
Model details
- Model type: MOSS-Transcribe-Diarize fine-tune
- Base model: OpenMOSS-Team/MOSS-Transcribe-Diarize
- Parameters: Approximately 0.9B
- Task: Multilingual lyric transcription with segment timestamps
Intended use
Lyric transcription for personal music libraries and lyric-display projects.
Users are responsible for ensuring they have the necessary rights to process their audio and use the generated text.
Output format
[12.00][S01]Example lyric line[15.20]
Timestamps are expressed in seconds. Speaker labels should not be interpreted as verified singer identities.
Recommended inference
For music recordings, the recommended pipeline uses vocal separation followed by overlapping-window transcription and repetition controls.
These processing steps are separate from the model weights.
Limitations
- Generated lyrics may contain incorrect, omitted, or invented words.
- Repeated phrases, ad-libs, overlapping vocals, and vocal effects may cause repetition or transcription errors.
- Timestamps are approximate.
- Accuracy varies by language, vocal clarity, and recording quality.
- Vocal separation and window merging may introduce additional errors.
- Instrumental sections may produce unintended text.
Review generated lyrics before relying on them. Applications should display a notice such as:
Lyrics transcribed using AI/ML. May contain errors.
Getting started
Model repository:
hcX02/echora-moss-0.9b-multilingual-lyrics-transcriber
Use a compatible MOSS-Transcribe-Diarize inference pipeline to load the model and process audio.
Contact
Open an issue in the Echora repository.
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Model tree for hcX02/echora-moss-0.9b-multilingual-lyrics-transcriber
Base model
OpenMOSS-Team/MOSS-Transcribe-Diarize