Instructions to use strumber/Meta-AudioGen-API with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use strumber/Meta-AudioGen-API with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("strumber/Meta-AudioGen-API", set_active=True) - Notebooks
- Google Colab
- Kaggle
File size: 656 Bytes
fa7a770 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | from transformers import PreTrainedModel, PretrainedConfig
import torch
from audio_craft_model import AudioCraftGenerator
class AudioCraftForHuggingFace(PreTrainedModel):
def __init__(self, config: PretrainedConfig, model_name='facebook/audiogen-medium', duration=5):
super(AudioCraftForHuggingFace, self).__init__(config)
self.audio_craft_generator = AudioCraftGenerator(model_name, duration)
def forward(self, descriptions):
with torch.no_grad():
wav = self.audio_craft_generator(descriptions)
return wav
def save_wav(self, wav, idx):
return self.audio_craft_generator.save_wav(wav, idx) |