I need to extract document probabilities from the BERT model. There are many posts talking about implementation. The Github Repo provides docker, so install the repo should not be a problem.
For quick starts, this might be helpful:
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I have 2 types of input files for two types of speeches (L and Q): one contains sentence_ID and content (T1_Table). The other has 2 columns, each line records the beginning and end of a paragraph: The beginning sentence_ID (starting from 0), end sentence_ID. Please note that the sentence IDs start from 0 (T2_Table).
We need to extract the probability of each paragraph for both two types of speech (L and Q) and save the embeddings for each sentence for both L and Q.
All files can be found here
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2. sentence embeddings with sentence_id for L and Q
3. paragraph probabilities with paragraph_id
Hello, I have worked with BERT before and I can do your tasks within budget and timeline.
8 freelance font une offre moyenne de $159 pour ce travail
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