WARAJA
/

b5_model

document-processing

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Tzefa Binarization Model (mit_b5 HighResMAnet)

Custom-trained document binarization model for the Tzefa OCR pipeline.

Architecture

Encoder: MiT-B5 (Mix Transformer)
Decoder: MAnet with custom High-Resolution Stem + Fusion Head
Framework: segmentation-models-pytorch
Input: RGB image tiles (640x640)
Output: Binary mask (ink=0, paper=255)

Usage

from huggingface_hub import hf_hub_download
import torch

# Download weights
ckpt_path = hf_hub_download("WARAJA/b5_model", "b5_model.pth")

# Load model (see Tzefa Binarization Space for full architecture code)
checkpoint = torch.load(ckpt_path, map_location="cpu")

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