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:
- a648054cb447d8d35ba90bd4eda2d54ebaf9ef638e79dfd0c5d4f8969cb1d092
- Size of remote file:
- 360 kB
- SHA256:
- 52dcba1e4f3b09b274e0d3a771e2b7ab40d4f0d2578d4f857b4a5855c79ef959
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