Eliyar Eziz

> > Wow. This is the first time I see some one used seq2seq on Uighur language generation. What kind tokenization process you have used? And please share the seq2seq...

It is most likely a tokenizer issue. You need to use a proper tokenizer so that your sentence's tokens match the embedding vocab. For example, after you have loaded the...

I haven't tried this use-case. Let me test & come back to you.

> I got the same error! Did you solve it? Not yet. Which corpus you are using to train. Can you share a colab with this issue so that I...

This is a really cool use-case. I am happy to help out. Actually we can train tons of data with limited RAM, but need to make some changes. Let's start...

Let's keep it simple first. Which embedding are you using for this task?

Yea, we need to implement something similiar to the ImageDataGenerator. I will try to do that tomorrow and come back to you.

Sorry, it has been very busy for the last several weeks. I will come back to you ASAP.

@allhelllooz could you prepare token-dict and label-dict by yourself?

@allhelllooz Sorry for the long delay. I have started the tf2 version Kashgari V2, which is very RAM-friendly. I have tested a classification task with a 10G corpus, it cost...