Any-to-Any
Transformers
Safetensors
gemma4
image-text-to-text
heretic
uncensored
decensored
abliterated
reproducible
Instructions to use BinxNet/gemma-4-E4B-it-heretic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BinxNet/gemma-4-E4B-it-heretic with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("BinxNet/gemma-4-E4B-it-heretic") model = AutoModelForMultimodalLM.from_pretrained("BinxNet/gemma-4-E4B-it-heretic") - Notebooks
- Google Colab
- Kaggle
Upload reproduce/SHA256SUMS with huggingface_hub
Browse files- reproduce/SHA256SUMS +4 -0
reproduce/SHA256SUMS
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