How would you approach this kind of Info/Entity extraction problem?

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  • finetuner

    :dart: Task-oriented embedding tuning for BERT, CLIP, etc.

    You could use neural search and pre-trained models like BERT, RoBERTa, GPT-2 to help the brain learn how to count likes and buys in the stories. It's like counting candies, but with words and numbers in the stories. You can then use finetuners for tweaking.

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