Instructions to use treadon/gemma4-E2B-it-abliterated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use treadon/gemma4-E2B-it-abliterated with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("treadon/gemma4-E2B-it-abliterated") model = AutoModelForMultimodalLM.from_pretrained("treadon/gemma4-E2B-it-abliterated") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f799acaa105bb2c6d691bd90b8c8553b4ec5feef484a4ab1b8247787a1b1dc6
- Size of remote file:
- 10.2 GB
- SHA256:
- 45ec5be5fac2ee8d20651eb8a1761eb40d58f41039d92dc06e27f10089c3d8ed
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