Hosted here as a pinned, self-controlled dependency for a browser-based, offline-first PDF tool. Pinning the app to a specific commit on this repo means the handwriting recognition model can't change out from under the app without an explicit update.

Only the files needed are included (not the full set of quantization variants from the source repo):

onnx/encoder_model.onnx, onnx/encoder_model_fp16.onnx
onnx/decoder_model_merged.onnx, onnx/decoder_model_merged_fp16.onnx
tokenizer, preprocessor, and generation config files

Usage

import { pipeline } from '@huggingface/transformers';

const captioner = await pipeline(
  'image-to-text',
  'inYourOwnBrowser/trocr-base-handwritten-ONNX',
  { dtype: 'fp32' } // or 'fp16'
);

const output = await captioner(imageDataUrl);

Attribution

Original model: microsoft/trocr-base-handwritten (MIT)
ONNX conversion: onnx-community/trocr-base-handwritten-ONNX
TrOCR paper: Li et al., TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models, arXiv:2109.10282

No changes were made to the model weights — this repo only re-hosts a subset of the original ONNX files.

inYourOwnBrowser/trocr-base-handwritten-ONNX

TrOCR Base Handwritten (ONNX)

Why this mirror exists

Contents

Usage

Attribution

inYourOwnBrowser/
trocr-base-handwritten-ONNX