Image-Text-to-Text
MLX
Safetensors
multilingual
deepseekocr
mlx-vlm
ocr
vision-language
baidu
quantized
8-bit precision
affine
conversational
Instructions to use mikoy92/Unlimited-OCR-8bit-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mikoy92/Unlimited-OCR-8bit-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("mikoy92/Unlimited-OCR-8bit-mlx") config = load_config("mikoy92/Unlimited-OCR-8bit-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
File size: 545 Bytes
c4af243 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"add_prefix_space": null,
"backend": "tokenizers",
"bos_token": "<|begin▁of▁sentence|>",
"clean_up_tokenization_spaces": false,
"eos_token": "<|end▁of▁sentence|>",
"extra_special_tokens": [
"<|User|>",
"<|Assistant|>"
],
"is_local": true,
"local_files_only": false,
"model_max_length": 1000000000000000019884624838656,
"pad_token": "<|▁pad▁|>",
"processor_class": "DeepseekOCRProcessor",
"tokenizer_class": "LlamaTokenizer",
"unk_token": null,
"use_default_system_prompt": false
}
|