Instructions to use yuta24/ui-test-vision-2b-alpha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use yuta24/ui-test-vision-2b-alpha with PEFT:
Task type is invalid.
- MLX
How to use yuta24/ui-test-vision-2b-alpha 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("yuta24/ui-test-vision-2b-alpha") config = load_config("yuta24/ui-test-vision-2b-alpha") # 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
Download code/glint/__init__.py from yuta24/ui-test-vision-2b-alpha: direct link, hf CLI and curl.
- Browser
- Download file 33 Bytes
-
https://huggingface.co/yuta24/ui-test-vision-2b-alpha/resolve/main/code/glint/__init__.py
- Command line
-
hf download hf://yuta24/ui-test-vision-2b-alpha/code/glint/__init__.py
-
curl -L -o __init__.py https://huggingface.co/yuta24/ui-test-vision-2b-alpha/resolve/main/code/glint/__init__.py
33 Bytes
| """Glint Decision Model PoC.""" | |