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 A342411496/SenseNova-U1-8B-MoT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use A342411496/SenseNova-U1-8B-MoT with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("A342411496/SenseNova-U1-8B-MoT", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 60c5efa525cf3c08d184805d3f979da5da1a7c082017f0bac10b561dcaaab606
- Size of remote file:
- 843 kB
- SHA256:
- 97996432827d8c10d20747bc6d64842c7eba7e7529fd30687ac0bcedfb5d04b7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.