Instructions to use Compumacy/janus_pro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Compumacy/janus_pro with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Compumacy/janus_pro", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ca91e7b6f4267849849d7b1f03f123f101154c264aaf6d1fe473254a9eb1e4d
- Size of remote file:
- 4.85 GB
- SHA256:
- 1cb7c7d12c16933f519f4959cbc8514bb50561f2945069f6d3b5827aadaac800
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.