cf9443753e
Package the portable DSH profiles, local plugins, desktop integration, Firefox wrapper, and ownership-aware installer lifecycle. Bundle checksum-pinned OpenVSCode, editor extensions, translation assets, and cloudflared so unreliable upstream artifact downloads cannot break a clean installation.
47 lines
3.1 KiB
Markdown
47 lines
3.1 KiB
Markdown
# Third-party notices
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`dsh-ui-translate` optionally downloads and runs an open-source Chinese-to-English translation model inside a browser Worker. The model is not bundled in the npm package and is downloaded only after the user explicitly selects the browser-local OPUS-MT backend.
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## OPUS-MT Chinese-to-English model
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- Original model: [`Helsinki-NLP/opus-mt-zh-en`](https://huggingface.co/Helsinki-NLP/opus-mt-zh-en)
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- Developed by: Language Technology Research Group, University of Helsinki
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- License: [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/)
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- Browser-compatible ONNX conversion: [`Xenova/opus-mt-zh-en`](https://huggingface.co/Xenova/opus-mt-zh-en), published by Xenova (Joshua Lochner) for Transformers.js
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- Pinned conversion revision: `39d480d52a9ea3065a1f117adfe4dbc55de10e6f`
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- Modification disclosure: this plugin does not modify or redistribute the model weights; it downloads the pinned `q8` ONNX conversion from that repository at first use
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Required attribution and citation:
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> Jörg Tiedemann and Santhosh Thottingal. “OPUS-MT — Building open translation services for the World.” Proceedings of the 22nd Annual Conference of the European Association for Machine Translation (EAMT), 2020.
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The model card reports Chinese as the source language, English as the target language, OPUS training data, and known risks involving errors, bias, and stereotypes. Model output is a convenience translation and is not authoritative.
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## Transformers.js
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- Project: [`huggingface/transformers.js`](https://github.com/huggingface/transformers.js)
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- Distributed package: `@huggingface/transformers@3.8.1`
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- Copyright: Hugging Face and contributors
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- License: [Apache License 2.0](./THIRD_PARTY_LICENSES/Apache-2.0.txt) ([upstream copy](https://github.com/huggingface/transformers.js/blob/v3.8.1/LICENSE))
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Transformers.js is bundled only into the dedicated local-model Worker. It loads the pinned model artifacts and performs inference locally.
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## Hugging Face Jinja
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- Project: [`huggingface/huggingface.js`](https://github.com/huggingface/huggingface.js/tree/main/packages/jinja)
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- Bundled package: `@huggingface/jinja@0.5.9`
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- Copyright: 2023 Hugging Face
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- License: [MIT License](./THIRD_PARTY_LICENSES/Hugging-Face-Jinja-MIT.txt)
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The Jinja parser is a transitive Transformers.js dependency included in the Worker bundle.
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## ONNX Runtime Web
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- Project: [`microsoft/onnxruntime`](https://github.com/microsoft/onnxruntime)
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- Bundled package version: `onnxruntime-web@1.22.0-dev.20250409-89f8206ba4`
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- Pinned upstream revision: `89f8206ba4`
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- Copyright: Microsoft Corporation and contributors
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- License: [MIT License](./THIRD_PARTY_LICENSES/ONNX-Runtime-MIT.txt) ([upstream copy](https://github.com/microsoft/onnxruntime/blob/89f8206ba4/LICENSE))
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- Required notices: [pinned third-party notices](./THIRD_PARTY_LICENSES/ONNX-Runtime-ThirdPartyNotices.txt) ([upstream copy](https://github.com/microsoft/onnxruntime/blob/89f8206ba4/ThirdPartyNotices.txt)); SHA-256 `e9e90971a8e75a9a8ac0c6412e29c1202d079998389915aa485f46c816c3b4cc`
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The WebAssembly runtime files are shipped with this plugin and served from the same DSH origin.
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