Instructions to use Rybib/rytability-gemma4-vision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Rybib/rytability-gemma4-vision with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("Rybib/rytability-gemma4-vision") config = load_config("Rybib/rytability-gemma4-vision") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Add Gemma 4 E2B vision tower (BF16, 659 tensors)
Browse files- model-vision.safetensors +3 -0
model-vision.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5b322b050d1f32f0d52203376c04dfe1fbbcd5e41f743d10cf0febf273fec293
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size 337171954
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