Instructions to use mickyhimself/Janus-Pro-tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mickyhimself/Janus-Pro-tuned with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mickyhimself/Janus-Pro-tuned", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0bab6ee6ad82c8a256c549c45b84ed7af87a22a2b4ee45b710fa5d132c97161
- Size of remote file:
- 14.8 GB
- SHA256:
- 04073c24633b18b9992c2a73dfb8f4d02c00a3ea5cff3aca0371093fb7784a0c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.