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:
- e3ddd0a5e831a6ac8b12940ec3f901ff7808bf37f2f1e6142301bd3471186600
- Size of remote file:
- 16 Bytes
- SHA256:
- 9bbcbf73561f6bc5d0a17ea6a2081feed2d1304e87602d8c502d9a5c4bd85576
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