Instructions to use PlusMinus1/omniparser-icon-caption-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use PlusMinus1/omniparser-icon-caption-mlx 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("PlusMinus1/omniparser-icon-caption-mlx") config = load_config("PlusMinus1/omniparser-icon-caption-mlx") # 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
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 2, | |
| "decoder_start_token_id": 2, | |
| "early_stopping": true, | |
| "eos_token_id": 1, | |
| "forced_bos_token_id": 0, | |
| "forced_eos_token_id": 2, | |
| "no_repeat_ngram_size": 3, | |
| "num_beams": 3, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.46.1" | |
| } | |