I’ve exported a custom PyTorch-based Transformer model into ONNX to run it on NodeJS. However, the exported model seems to expect input_ids directly (and not raw text). Is there any way I can perform tokenization in JS? Or is there something I’m missing, wherein the ONNX model itself is capable of…

I have the same problem. Seems converting to onnx is only half the battle. Maybe I’ll write a library. How hard could it be?

Awesome library @praeclarum ! I used it as inspiration when developing https://github.com/xenova/transformers.js , which supports BERT, DistilBERT, T5 and GPT2 tokenization and inference.

Thank you, so so much. This library finally made it possible for even a noob such as myself to execute my models in the browser. I’d probably get a C in my Data Mining class if I didn’t find this amazing tool.

Tokenizing using JS

🤗Transformers

praeclarum August 19, 2022, 9:46am 3

I have written a JavaScript library that is capable of running the T5 tokenizer: transformers-js/tokenizers.js at main · praeclarum/transformers-js · GitHub

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Tokenizing using JS

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