Image-Text-to-Text
MLX
Safetensors
English
falcon_ocr
ocr
vision-language
falcon
apple-silicon
custom_code
Eval Results
Instructions to use mlx-community/Falcon-OCR-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Falcon-OCR-bf16 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("mlx-community/Falcon-OCR-bf16") config = load_config("mlx-community/Falcon-OCR-bf16") # 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
Update weights for Falcon OCR v1.5
#1
by pszemraj - opened
Hey! TII UAE recently released Falcon OCR version 1.5, but somewhat confusingly left it in the same repository (check out this commit). I wanted to request the weights being reconverted and updated either here or a new repo (your call), as in my testing on Colab/CUDA the model is significantly more practically useful and worth an update
If you need any help on this, do let me know