Any-to-Any
Transformers
Safetensors
gemma4
image-text-to-text
gemma
google
paroquant
4-bit precision
Instructions to use Jeethu/gemma-4-E2B-it-PARO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeethu/gemma-4-E2B-it-PARO with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("Jeethu/gemma-4-E2B-it-PARO") model = AutoModelForImageTextToText.from_pretrained("Jeethu/gemma-4-E2B-it-PARO") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
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