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:
- ee2b37d6cfdc34cace48c619a8432e6a5ef5f63e75204331d6645cc520332eb9
- Size of remote file:
- 4.83 GB
- SHA256:
- b5ea930dde8eba4157a099d18672b31288c4bc7a40c3b32475534399765f3b9a
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