Instructions to use AEmotionStudio/yue2-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AEmotionStudio/yue2-models with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="AEmotionStudio/yue2-models")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AEmotionStudio/yue2-models", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download sheetsage2/processor_config.json from AEmotionStudio/yue2-models: direct link, hf CLI and curl.
- Browser
- Download file 277 Bytes
-
https://huggingface.co/AEmotionStudio/yue2-models/resolve/main/sheetsage2/processor_config.json
- Command line
-
hf download hf://AEmotionStudio/yue2-models/sheetsage2/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/AEmotionStudio/yue2-models/resolve/main/sheetsage2/processor_config.json
277 Bytes
| { | |
| "processor_class": "SheetSage2Processor", | |
| "sampling_rate": 24000, | |
| "window_seconds": 300.0, | |
| "time_hz": 100, | |
| "schema_version": "v1", | |
| "tokenizer_fingerprint": "5ba3325af0344c7f", | |
| "auto_map": { | |
| "AutoProcessor": "processing_sheetsage2.SheetSage2Processor" | |
| } | |
| } | |