Image-to-Text
Transformers
Safetensors
English
gemma4
feature-extraction
vision-language-model
4-bit precision
unesco-resilient-ai
h2e-framework
bitsandbytes
Instructions to use frankmorales2020/gemma-4-e4b-unesco-optimized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use frankmorales2020/gemma-4-e4b-unesco-optimized with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="frankmorales2020/gemma-4-e4b-unesco-optimized")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("frankmorales2020/gemma-4-e4b-unesco-optimized") model = AutoModel.from_pretrained("frankmorales2020/gemma-4-e4b-unesco-optimized") - Notebooks
- Google Colab
- Kaggle
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