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inference #5
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X^l represents all candidates' label embeddings. During training, the model does not utilize gold information in X^l, the only supervision is on the last layer's attention weights. |
ok, Thanks! |
@oldstree Hi, I am also trying to use the tool. But I am wondering where the dataset is. I saw you run this model and posted issues. What dataset did you use? Could you please share with me? |
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Ask a question:How to do in prediction, which don't have label? Thanks.
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