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:
- 12290d630a1ead3105796658c1ff7e6877c51e2ae8fe5e68895fc400966ab53c
- Size of remote file:
- 3.09 GB
- SHA256:
- 0b67899a184c4a7ac3fbca0d92dcbe7bedf64c6ef5293aa731ca43a3cca21ab8
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