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You look at the code,
It has nothing to do with the structure of the model.
It's just a convenient to model implementation,
in fact,segment_embedding first dimension in pre_trained model is all zeros.
First of all, thanks for your kind offer.
Why did you set segment_embedding's first dimension to 3 ??
This is on path [FastBERT/uer/layers/embeddings.py] (line 18)
Is this part flexible depending on the model architecture?
The paper does not have this content, so I asked a question.
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