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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("CodeDevX/AuroraImageGen") model = AutoModelForMultimodalLM.from_pretrained("CodeDevX/AuroraImageGen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from CodeDevX/AuroraImageGen: direct link, hf CLI and curl.
- Browser
- Download file 122 Bytes
-
https://huggingface.co/CodeDevX/AuroraImageGen/resolve/main/generation_config.json
- Command line
-
hf download hf://CodeDevX/AuroraImageGen/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/CodeDevX/AuroraImageGen/resolve/main/generation_config.json
122 Bytes
| { | |
| "cache_implementation": "hybrid", | |
| "eos_token_id": [ | |
| 1, | |
| 106 | |
| ], | |
| "transformers_version": "5.9.0" | |
| } | |