The two pretrained models the EasyOCR en reader uses, converted from the official.pth files to.safetensors. Nothing was retrained or modified: every tensor is identical, in value and dtype, to the original, and the key names (including the module. prefix) are unchanged. SHA256SUMS lists the same values: sha256sum -c SHA256SUMS. Converted from the official EasyOCR release assets (EasyOCR's own MD5 values in easyocr/config.py are shown): Conversion: torch.load(..., weightsonly=True) of the state dict, then safetensors.torch.savefile. The saved file was loaded back and compared tensor by tensor with the original (all equal). An EasyOCR reader fed these tensors returned the same boxes, text and…
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Keegan Yip
keeganyip
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Models on Hugging Face1
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