We are releasing the BERT-Base and BERT-Large models from the paper. Uncased means that the text has been lowercased before WordPiece tokenization, e.g., ... ... <看更多>

I am testing Bert base and Bert distilled model in Huggingface with 4 scenarios of speeds, batch_size = 1: 1) bert-base-uncased: 154ms per ... ... <看更多>

tokenizer = BertTokenizer.from_pretrained('bert-base-uncased') text = input("Enter a word or a sentence: ") print(tokenizer.tokenize(text)) ... <看更多>

FULL ERROR: Model name '/content/drive/My Drive/bert_training/uncased_L-12_H-768_A-12/' was not found in model name list (bert-base-uncased, bert-large-uncased, ... ... <看更多>

This document analyses the memory usage of Bert Base and Bert Large ... .com/models.huggingface.co/bert/bert-base-uncased-config.json from ... ... <看更多>

利用bert预训练模型生成句向量或词向量. ... BERT-Base, Uncased: 12-layer, 768-hidden, 12-heads, 110M parameters. BERT-Large, Uncased: 24-layer, 1024-hidden, ... ... <看更多>

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