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xberg-io/sceptre-zh_sim_g2
sceptre-zh_sim_g2 is a machine learning model from xberg-io. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for sceptre. The card lists the license as apache-2.0.
ONNX gen2 CRNN text recognizer for Simplified Chinese (6719 CTC classes). Part of sceptre, a Rust reimplementation of EasyOCR.
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Updated Aug 8, 2026
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From the Hugging Face model README
zh_sim_g2)ONNX gen2 CRNN text recognizer for Simplified Chinese (6719 CTC classes). Part of sceptre, a Rust reimplementation of EasyOCR.
[batch, 1, 64, width] f32, grayscale, height fixed at 64, dynamic batch and width.
Normalize as (pixel/255 - 0.5) / 0.5 before the model (not baked in).[batch, time, num_classes] raw CTC logits (no softmax in the graph); class 0 is the
CTC blank.Exported by the sceptre project from EasyOCR (Apache-2.0, JaidedAI). The underlying weights are JaidedAI's EasyOCR models; the ONNX export follows the lineage of the itextresearch/itext-EasyOCR-* exports.
Licensed under Apache-2.0, matching EasyOCR.