Any-to-Any
Transformers
Safetensors
neo_chat
image-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:
- 72bd4ba32f0c70db65134080acbfa39a06231667c403bee86b66be4095336d40
- Size of remote file:
- 5.58 GB
- SHA256:
- 8314897785449d9697550e853806279b025bfa39f7366c395ccb3d8d3a0908a6
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