Any-to-Any
Transformers
Safetensors
gemma4
image-text-to-text
heretic
uncensored
decensored
abliterated
Instructions to use TheUmbraWalker/gemma-4-E4B-it-2-heretic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheUmbraWalker/gemma-4-E4B-it-2-heretic with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("TheUmbraWalker/gemma-4-E4B-it-2-heretic") model = AutoModelForMultimodalLM.from_pretrained("TheUmbraWalker/gemma-4-E4B-it-2-heretic") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8548b0145b649161c090978f87dcb945294e4a6e6458cc60b53721a743a32d6
- Size of remote file:
- 4.99 GB
- SHA256:
- df30ce31804e8d88500e17d572a8014e23242fb1c7ee106e14c5d6f448766be8
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