Instructions to use BarelyFunctionalCode/Janus-Pro-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BarelyFunctionalCode/Janus-Pro-1B with Transformers:
# Load model directly from transformers import MultiModalityCausalLM model = MultiModalityCausalLM.from_pretrained("BarelyFunctionalCode/Janus-Pro-1B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1ffc28cc8bca08918829f98603f31c8ff7b80d81947de88028d0be238d04440
- Size of remote file:
- 4.18 GB
- SHA256:
- ea7cf164cbed272be2a9999bc4c314da6a6f23ef51871ddef3afc2c0c430cc3f
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