Instructions to use xiabs/DreamOmni2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xiabs/DreamOmni2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("xiabs/DreamOmni2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 22530836b75ea00e8180a23046ea60a9a82647c0a8f135d839463cd09d0155f8
- Size of remote file:
- 4.97 GB
- SHA256:
- 4b7f1009a55769b8597aa2fb8ead5011d9221449faad44c55acfa68e5c56411d
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