Instructions to use CodeDevX/AuroraImageGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeDevX/AuroraImageGen with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("CodeDevX/AuroraImageGen") model = AutoModelForMultimodalLM.from_pretrained("CodeDevX/AuroraImageGen") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f433cf5c8ae616a2bdc03384c3625eaf6aa13fa819105ebbe50246d5bef9378
- Size of remote file:
- 8.6 GB
- SHA256:
- 6ee3fd19ca67b4619b5a7039a9445511ffac86ac1664bfb2c746336b35987a62
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