Instructions to use facebook/encodec_32khz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/encodec_32khz with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="facebook/encodec_32khz")# Load model directly from transformers import AutoFeatureExtractor, AutoModel extractor = AutoFeatureExtractor.from_pretrained("facebook/encodec_32khz") model = AutoModel.from_pretrained("facebook/encodec_32khz") - Notebooks
- Google Colab
- Kaggle
No compression_state_dict.bin file
#2
by wzy11 - opened
model = MusicGen.get_pretrained('facebookmusicgen-melody-large/', device = 'cuda')
When I use the musicgen-melody-large model, compression_model = load_compression_model(name, device=device) will access the encodec_32khz model, and return error No such file or directory: compression_state_dict.bin