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Hi @zahra-rou, if i understand your question, how about get embeddings for each sentence of the document and aggregate these vectors? The aggregation may (not) be learnt here.
Is it possible to get a fixed-size vector (embedding) for each document (way more than 1000 characters) before fine-tuning the model?
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