Tsurumeso Vocal Remover
Transformers pipeline wrapper for tsurumeso/vocal-remover, release v6.0.0b4, forked here.
Source du modèle
- Type
- Other
- Taille du fichier
- 56,4 MB
- Version
- vRevision f785d28
- Mis à jour
- 31 oct. 2026
- Téléchargements
- 31
- Source
- Hugging Face
Description de la source
Transformers pipeline wrapper for tsurumeso/vocal-remover, release v6.0.0b4, forked here.
Usage
Install the vocal-remover library:
pip install -U git+https://github.com/Japan7/[email protected]
Import the pipeline from this HuggingFace project and run it:
>>> from transformers import pipeline
>>> vocal_remover = pipeline("tsurumeso-vocal-remover", model="NextFire/tsurumeso-vocal-remover", trust_remote_code=True)
>>> vocal_remover("test.mp4")
ModelOutput({'instruments': array([[0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ..., 1.9306738e-07,
3.4877817e-07, 4.3515007e-07],
[0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ..., 1.9184739e-07,
3.4998811e-07, 4.3411370e-07]], dtype=float32), 'vocals': array([[ 0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,
3.1086234e-09, -5.8723013e-09, 9.7148618e-09],
[ 0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,
1.0084603e-09, -3.6961094e-09, 8.2348457e-09]], dtype=float32), 'sampling_rate': 44100})
ModelOutput contains the instruments and vocals waveforms, and their sampling rate.
Sources
1 source
Sources
1 sourceVérifié 31 oct.
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Artefacts du modèle
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3 extraits
Extraits de sources
3 extraits--- library_name: transformers tags: - music license: mit pipeline_tag: audio-to-audio --- Transformers pipeline wrapper for [tsurumeso/vocal-remover](https://github.com/tsurumeso/vocal-remover), release [v6.0.0b4](https://github.com/tsurumeso/vocal-remover/releases/tag/v6.0.0b4), forked [here](https://github.com/Japan7/vocal-remover/tree/6.0.0b4). ## Usage Install the `vocal-remover` library: ```sh pip install -U git+https://github.com/Japan7/[email protected] ``` Import the pipeline from this HuggingFace project and run it: ```python3 >>> from transformers import pipeline >>> vocal_remover = pipeline("tsurumeso-vocal-remover", model="NextFire/tsurumeso-vocal-remover", trust_remote_code=True) >>> vocal_remover("test.mp4") ModelOutput({'instruments': array([[0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ..., 1.9306738e-07, 3.4877817e-07, 4.3515007e-07], [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ..., 1.9184739e-07, 3.4998811e-07, 4.3411370e-07]], dtype=float32), 'vocals': array([[ 0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ..., 3.1086234e-09, -5.8723013e-09, 9.7148618e-09], [ 0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ..., 1.0084603e-09, -3.6961094e-09, 8.2348457e-09]], dtype=float32), 'sampling_rate': 44100}) ``` `ModelOutput` contains the instruments and vocals waveforms, and their sampling rate.
Source context: 31 downloads · 0 likes · Pipeline audio-to-audio · Library transformers · Repo NextFire/tsurumeso-vocal-remover
Source context: 75 downloads · 0 likes · Pipeline audio-to-audio · Library transformers · Repo NextFire/tsurumeso-vocal-remover
