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@huggingface/transformers

State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!

38
Versions
Apache-2.0
License
No
Install Scripts
Missing
Provenance

Supply chain provenance

Status for the latest visible version.

No SLSA provenance npm registry signatures No source commit

Without SLSA provenance there is no cryptographic link between this tarball and the public source, so a manually published version cannot be tied back to a reviewed commit.

Maintainers

julien-cpierriccoyotte508xenovagary149

Keywords

transformerstransformers.jshuggingfacehugging facemachine learningdeep learningartificial intelligenceAIML

Accepted risks

Findings the reviewer chose to accept rather than block on.

SourceRuleReasonAccepted byWhen
provenance missing-githead AI (provenance): Pre-release major version (4.0.0-next.x) from trusted HuggingFace publisher xenova with clean track record; likely a CI/CD pipeline change during major version development. ai
publish-pattern new-deps-added AI (publish-pattern): @huggingface/tokenizers is a first-party Hugging Face dependency, expected for this package's v4 major version. Not a supply-chain risk. ai
source-diff obfuscated-file:dist/transformers.web.js AI (source-diff): Standard webpack bundle output for a large ML library. Webpack comments and external module declarations are clearly visible in the sample. Expected artifact of the documented build process. ai
source-diff large-new-source-files AI (source-diff): Large ML library ships pre-built webpack bundles and source maps for browser/Node targets. New files are expected dist artifacts, not injected code. ai
source-diff obfuscated-file:dist/transformers.node.mjs AI (source-diff): Standard webpack bundle output for Node.js target. Sample shows recognizable webpack module structure with legitimate imports (fs, onnxruntime-node, path, sharp, url). ai
source-diff net-exec-file:dist/ort-wasm-simd-threaded.jsep.mjs AI (source-diff): Emscripten-compiled ONNX Runtime WASM loader. Network+exec pattern is WASM binary fetch and WebAssembly.instantiate — standard and expected for any WASM-based ML runtime. ai
provenance no-provenance AI (provenance): Already marked accepted risk; Hugging Face/xenova is a well-established publisher with a strong track record. ai

Versions (showing 38 of 38)

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