Instructions to use laion/larger_clap_music with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use laion/larger_clap_music with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="laion/larger_clap_music")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("laion/larger_clap_music") model = AutoModel.from_pretrained("laion/larger_clap_music", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d16cd0215606edfbd0d3772c7df0e00e23dba59c5bfc811021b8857648278827
- Size of remote file:
- 776 MB
- SHA256:
- 5c289311f4a030d768af7ffbfdecd01b008aa64824211899a4e59f4f9d154fd1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.