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instructions of first section says to me: train.csv must contain a text column.
by defolt, there's a model_name : abhishek/llama-2-7b-hf-small-shards. does it mean that with this template thats the only qway to structure my data? in my case i need input/output columns there, so i dont understand what will be the right way to do it.
there's another note , says: change model if you wish, you can use most of the text-generation models from Hugging Face Hub.
does it means i can use only text-generation models with this template? if i need to make text classification model, this template won't work for me?
dont have any code knowledge, so im trying to build my way step by step, would really appreciate your help
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Hello guys! Would love to have some general help in understanding what's going on here :)
so im trying to train some virtual assistants with next template for autotrain: https://colab.research.google.com/github/huggingface/autotrain-advanced/blob/main/colabs/AutoTrain_LLM.ipynb#scrollTo=A2-_lkBS1WKA
My Questions:
by defolt, there's a model_name : abhishek/llama-2-7b-hf-small-shards. does it mean that with this template thats the only qway to structure my data? in my case i need input/output columns there, so i dont understand what will be the right way to do it.
does it means i can use only text-generation models with this template? if i need to make text classification model, this template won't work for me?
dont have any code knowledge, so im trying to build my way step by step, would really appreciate your help
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