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:
- 262f0bc7db2b4be2c5d6c5c9d76b6f899ae09e08b5e7d52a71d88ab4e35c4391
- Size of remote file:
- 4.83 GB
- SHA256:
- 03b94ab7d7b97ccdc4406225e72752d7d1af3264b276c3b0a6c920922fc883e9
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