Image-Text-to-Text
MLX
Core ML
Safetensors
mobile-o
multimodal
unified-model
ios
on-device
mobile
edge-ai
Instructions to use Amshaker/Mobile-O-0.5B-iOS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Amshaker/Mobile-O-0.5B-iOS 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("Amshaker/Mobile-O-0.5B-iOS") config = load_config("Amshaker/Mobile-O-0.5B-iOS") # 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
| { | |
| "_class_name": "CustomScheduler", | |
| "_diffusers_version": "0.32.0.dev0", | |
| "algorithm_type": "custom_v1", | |
| "beta_end": 0.02, | |
| "beta_schedule": "linear", | |
| "beta_start": 0.0001, | |
| "dynamic_thresholding_ratio": 0.995, | |
| "euler_at_final": false, | |
| "final_sigmas_type": "zero", | |
| "flow_shift": 3.0, | |
| "lambda_min_clipped": -1000000.0, | |
| "lower_order_final": true, | |
| "num_train_timesteps": 1000, | |
| "prediction_type": "flow_prediction", | |
| "rescale_betas_zero_snr": false, | |
| "sample_max_value": 1.0, | |
| "solver_order": 3, | |
| "solver_type": "multistep", | |
| "steps_offset": 0, | |
| "thresholding": false, | |
| "timestep_spacing": "uniform_tau", | |
| "trained_betas": null, | |
| "use_beta_sigmas": false, | |
| "use_exponential_sigmas": false, | |
| "use_flow_sigmas": true, | |
| "use_karras_sigmas": false, | |
| "use_lu_lambdas": false, | |
| "apply_flow_shift": false, | |
| "variance_type": null, | |
| "update_clamp_factor": 2.5, | |
| "sigma_max": 1.0, | |
| "sigma_min": 0.002, | |
| "karras_rho": 7.0, | |
| "use_heun_final_steps": 3 | |
| } | |