Add binary embedding quantization support to FeatureExtraction pipeline #691
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This PR addressed the below issue, using the examples from @xenova.
Closes [feat] Add binary & scalar embedding quantization support to Transformers.js #681
Let me know if you'd like any changes to this, perhaps we can make another options object in javascript like a QuantizationOptions so it's obvious which parameters are grouped together logically
I also added a texts === undefined check since I ran into an issue earlier where I was accidentally not passing in any texts and was met with an unfriendly error.
For some reason though I don't get the same similarity numbers as Xenova did on his example but the numbers are at least similar
It may also be beneficial to bring in https://github.com/ashvardanian/SimSIMD for this but haven't ran any benchmarks within browser context yet