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:
- b8d5ddb9d7d994c5e7abaa2ba0fb5e1f904f73e1b922dafa576ea98c50a0417e
- Size of remote file:
- 340 kB
- SHA256:
- ca02cbf4afffb960f2070759ec69aac7e3cc8ba833b28ac9604fb3d7b6554ecd
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