Image-Text-to-Text
Safetensors
MLX
mlx-vlm
indic_ocr
ocr
document-parsing
layout-analysis
reading-order
indic
Instructions to use HashNuke/indic-ocr-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use HashNuke/indic-ocr-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("HashNuke/indic-ocr-mlx") config = load_config("HashNuke/indic-ocr-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
- Atomic Chat
File size: 1,077 Bytes
cbcbaad | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | {
"backend": "tokenizers",
"boi_token": "<|start_of_image|>",
"bos_token": "[@BOS@]",
"clean_up_tokenization_spaces": false,
"eoi_token": "<|end_of_image|>",
"eos_token": "<|im_end|>",
"extra_special_tokens": [
"<|endoftext|>",
"<|im_start|>",
"<|im_end|>",
"<|object_ref_start|>",
"<|object_ref_end|>",
"<|box_start|>",
"<|box_end|>",
"<|quad_start|>",
"<|quad_end|>",
"<|vision_start|>",
"<|vision_end|>",
"<|image_pad|>",
"<|video_pad|>"
],
"image_token": "<|image_pad|>",
"is_local": true,
"local_files_only": false,
"model_max_length": 1000000000000000019884624838656,
"model_specific_special_tokens": {
"boi_token": "<|start_of_image|>",
"eoi_token": "<|end_of_image|>",
"image_token": "<|image_pad|>"
},
"pad_token": "<|endoftext|>",
"padding_side": "right",
"processor_class": "Qwen3VLProcessor",
"sp_model_kwargs": null,
"spaces_between_special_tokens": false,
"tokenizer_class": "TokenizersBackend",
"unk_token": "<unk>",
"use_default_system_prompt": false
}
|