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("undefined") model.load_adapter("strumber/Meta-AudioGen-API", set_active=True) - Notebooks
- Google Colab
- Kaggle
Create generate_audio.py
Browse files- generate_audio.py +15 -0
generate_audio.py
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from transformers import PretrainedConfig
|
| 2 |
+
from huggingface_integration import AudioCraftForHuggingFace
|
| 3 |
+
|
| 4 |
+
# Example usage:
|
| 5 |
+
model_name = 'facebook/audiogen-medium'
|
| 6 |
+
duration = 5
|
| 7 |
+
|
| 8 |
+
config = PretrainedConfig.from_pretrained(model_name)
|
| 9 |
+
audio_craft_model = AudioCraftForHuggingFace(config, model_name, duration)
|
| 10 |
+
|
| 11 |
+
descriptions = ['creepy cartoon dungeon music']
|
| 12 |
+
wav = audio_craft_model(descriptions)
|
| 13 |
+
|
| 14 |
+
for idx, one_wav in enumerate(wav):
|
| 15 |
+
audio_craft_model.save_wav(one_wav, idx)
|