transformers-js

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Hi. When i try to convert the T5 small as mentioned on the readme to onnx format, I get the below error export_and_get_onnx_model() got an unexpected keyword argument 'custom_output_path'

allthingssecurity

Hi, Is the implementation of tokenizer the same as Google's SentencePiece? For example, will the same input have the same output when calling encode? If so, how can I convert...

tylike

I have this code ```js import { pipeline } from "https://cdn.jsdelivr.net/npm/@xenova/[email protected]"; let storyTeller = await pipeline( "text2text-generation", ); async function story() { let result = await storyTeller("give a story on...

VatsaDev

flan t5 support

1

Assumed the tokenizer is the quite the same, is [flan t5](https://huggingface.co/google/flan-t5-base) supported?

loretoparisi

What would it take to allow further training of pretrained models in the browser?

2

First of all, let me start by complimenting your amazing work. I am trying to learn AI/ML for the job market. Transformer models seem to be the state-of-the-art AI models,...

ai-nonbeliever

Thanks. feasible to train our own data?

bitdom8

To simply your implementation, might be better to use the tokenizers through WASM https://blog.mithrilsecurity.io/porting-tokenizers-to-wasm/

jafri