- Two tasks: one text/NLP, one audio processing/speech-to-text.
- Everything in
build/is generated or an upstream library. - Everything in
util/is tooling for building and preparing the benchmark.
- Transformers.js: Apache 2.0, https://github.com/huggingface/transformers.js/blob/main/LICENSE
- ONNX runtime: MIT, https://github.com/microsoft/onnxruntime/blob/main/LICENSE
text-encodingPolyfill: Unlicense OR Apache 2.0, https://github.com/inexorabletash/text-encoding/blob/master/LICENSE.md- Model
DistilBERT base uncased finetuned SST-2: Apache 2.0, https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english - Model
openai/whisper-tiny.en: Apache 2.0, https://huggingface.co/openai/whisper-tiny.en - Audio file for speech-to-text task: Public domain, https://www.jfklibrary.org/learn/about-jfk/historic-speeches/inaugural-address