Image-to-Text
docTR
PyTorch
optical-character-recognition
text-recognition
scene-text-recognition
parseq
vision-transformer
Instructions to use rrainn/doctr-parseq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- docTR
How to use rrainn/doctr-parseq with docTR:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 690 Bytes
db17d8c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | {
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"file": "pytorch_model.bin",
"mediaType": "application/vnd.pytorch.state-dict",
"sha256": "56125471b17e660253c4179c3fbf3c906c34606d898148895dbb84db257d98ba",
"sizeBytes": 95457349
},
"upstream": {
"project": "docTR",
"repository": "https://github.com/mindee/doctr",
"sourceCodeVersion": "v1.0.1",
"originalFile": "parseq-56125471.pt",
"sourceUrl": "https://doctr-static.mindee.com/models?id=v0.7.0/parseq-56125471.pt&src=0",
"license": "Apache-2.0"
},
"mirror": {
"maintainer": "rrainn",
"purpose": "Reproducible model distribution",
"transformation": "Filename normalized to pytorch_model.bin; file bytes unchanged"
}
}
|