Instructions to use m-a-p/YuE2-Vae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m-a-p/YuE2-Vae with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="m-a-p/YuE2-Vae", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("m-a-p/YuE2-Vae", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download assets/figure1.pdf from m-a-p/YuE2-Vae: direct link, hf CLI and curl.
- Browser
- Download file 31.4 kB
-
https://huggingface.co/m-a-p/YuE2-Vae/resolve/main/assets/figure1.pdf
- Command line
-
hf download hf://m-a-p/YuE2-Vae/assets/figure1.pdf
-
curl -L -o figure1.pdf https://huggingface.co/m-a-p/YuE2-Vae/resolve/main/assets/figure1.pdf
31.4 kB