Created
December 7, 2022 14:06
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get embeddings from bert model
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| from transformers import BertTokenizer, BertModel | |
| tokenizer = BertTokenizer.from_pretrained('bert-base-uncased') | |
| model = BertModel.from_pretrained("bert-base-uncased") | |
| text = "Replace me by any text you'd like." | |
| encoded_input = tokenizer(text, return_tensors='pt') | |
| output = model(**encoded_input) | |
| embs = output.last_hidden_state |
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