Any-to-Any
Transformers
Safetensors
neo_chat
feature-extraction
multimodal
text-to-image
image-to-text
image-editing
interleaved-generation
custom_code
Instructions to use sensenova/SenseNova-U1-8B-MoT-SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sensenova/SenseNova-U1-8B-MoT-SFT with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sensenova/SenseNova-U1-8B-MoT-SFT", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 9f2d5829d26fbe8d256700efa36910a58cbc4c06ac1a7f16c9cfc4b0d407c340
- Size of remote file:
- 107 kB
- SHA256:
- ca8653292ed7d84dbf0137b4c8da9d03129ece6f93ffaff8f495b69bddb2e190
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