Any-to-Any
Transformers
Safetensors
English
text-to-image
text-and-image-to-image
multimodal
unified-model
Instructions to use FreedomIntelligence/Janus-4o-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FreedomIntelligence/Janus-4o-7B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FreedomIntelligence/Janus-4o-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ddf85604275581666b6bee4b47790550e80837f954ef1ce865c4b80dd47182d
- Size of remote file:
- 4.98 GB
- SHA256:
- 4fe889057c6f13bb1fe3a62eebdfb127f3acfaf874dc19299c45bea53745c7db
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.