Looking for example for seq2seq model
Hi,I have a specific task I want to train a model on, which is to be able to predict the value of thisschema:{
    "free speech text or sentence (somewhere up to twenty words)": {
        key1: [value1, value2],
        key2: [value3, value4],
        key3: [value5, value6],
        ..
        ..
        .
    }
}I basically have a json with many such items, and I want to predict the value of each item’s key:value pair, i.e. predict theinner-dict, based on the key user input text.So if I give the model the sentencefree speech text or sentence (somewhere up to twenty words)it will predict:{     key1: [value1, value2],     key2: [value3, value4],     key3: [value5, value6],     ..     ..     . }The topic is very complex for a novice such as myself, but I spent quite some time on chat-gpt3 in order to try and develop some POC of my own. I did no succeed, but learned some things and understood that I am probably looking for:seq2sequsing transformerstokenizing dataAnd was advised to look at Hugging Face for some example code I can start playing with, which will be a POC for this type of model.I see there are a lot of seq2seq models on the site, but it’s hard to filter them to know which one I can start off from.Can anyone point me in the right direction? (or the correct forum section for this question if I’m the wrong place).Thanks