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tokenizer): inputs = tokenizer(sentence, return_tensors='pt') with torch.no_grad(): outputs = model(**inputs) embeddings = outputs.last_hidden_state return embeddings # Load the pre-trained model and tokenizer (replace with your own) from transformers import BertModel, BertTokenizer model =