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-Infographic-V3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sensenova/SenseNova-U1-8B-MoT-Infographic-V3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sensenova/SenseNova-U1-8B-MoT-Infographic-V3", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d737d8f9667f9371bd4f148fb6733026971aa084c58c82a7560edfcb4b2c96c2
- Size of remote file:
- 4.83 GB
- SHA256:
- a4628d2988f4d84148ab404d5b95b2ae18314cc1b7fc661607b5acee91ebb39c
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