Any-to-Any
Transformers
Safetensors
English
gemma4
image-text-to-text
text-generation-inference
Mixture of Experts
agent
Instructions to use prithivMLmods/gemma-4-E4B-it-Uncensored-MAX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/gemma-4-E4B-it-Uncensored-MAX with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("prithivMLmods/gemma-4-E4B-it-Uncensored-MAX") model = AutoModelForMultimodalLM.from_pretrained("prithivMLmods/gemma-4-E4B-it-Uncensored-MAX", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2cadc118ec187261f32a5ef7be9a35e2ae36ba6a4e06741c563add10d9609328
- Size of remote file:
- 4.99 GB
- SHA256:
- a8026ebbab497ed848e5e5dba0f58ce7a276a89bff8f65c97b3937eb9361d096
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