Any-to-Any
Transformers
Safetensors
gemma4
image-text-to-text
heretic
uncensored
decensored
abliterated
reproducible
Instructions to use p-e-w/gemma-4-E4B-it-heretic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use p-e-w/gemma-4-E4B-it-heretic with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("p-e-w/gemma-4-E4B-it-heretic") model = AutoModelForMultimodalLM.from_pretrained("p-e-w/gemma-4-E4B-it-heretic") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9b189639a01b0ee95fb4f7af3f00eb324766c865874087225ad2a39256ca93e
- Size of remote file:
- 5 GB
- SHA256:
- 2dda6bb634cf232188faaaba46baee512727182129903cbcf59f49d4cf31134c
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