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:
- c1d25a44909b55675f775ec5115c89e3a7b405550a1471cf86a13f6c101b8a2e
- Size of remote file:
- 201 kB
- SHA256:
- abf821c069b6903457eb8323a3b019163a1997e9635d79c63b55a770b49f262e
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