[ad_1] Context vectors are powerful representations generated by transformer models that capture the meaning of words in their specific contexts. In our previous tutorials,…
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[ad_1] A context vector is a numerical representation of a word that captures its meaning within a specific context. Unlike traditional word embeddings that…
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[ad_1] import numpy as np import torch from transformers import BertTokenizer, BertModel def get_context_vectors(sentence, model, tokenizer): inputs = tokenizer(sentence, return_tensors=“pt”, add_special_tokens=True) input_ids =…
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