Squad数据集是BERT-LARGE-UNCASED-WHOLE-WORD-MASKING-FINETUNED-SQUAD中的另一个重要组件。它是一个带有问题、答案和上下文信息的自然语言文本数据集,如ImageNet挑战的问题描述。通过使用Squad数据集,BERT-LARGE-UNCASED-WHOLE-WORD-MASKING-FINETUNED-SQUAD可以更好地理解自然语言上下文信息,从而提高语言模型的性能。
I am trying to use the bert-large-uncased for long sequence ending, but it's giving the error: Code: from transformers import BertTokenizer, BertModel tokenizer = BertTokenizer.from_pretrained('bert-large-uncased') model = BertModel.from_pretrained("bert-large-uncased") text = "Replace me ...
bert-large-uncased Overview BERT is a transformers model pretrained on a large corpus of English data in a self-supervised fashion. This means it was pretrained on the raw texts only, with no humans labelling them in any way (which is why it can use lots of publicly available data) with...
v2.0.json --bert_checkpoint /path_to/BERT-STEP-2285714.pt --bert_config /path_to/bert-config.json --pretrained_model_name=bert-large-uncased --batch_size 3 --num_epochs 2 --lr_policy WarmupAnnealing --optimizer adam_w --lr 3e-5 --do_lower_case --version_2_with_negative --no_...
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Pre-trained Deep Learning models and demos (high quality and extremely fast) - open_model_zoo/models/intel/bert-large-uncased-whole-word-masking-squad-emb-0001/README.md at master · openvinotoolkit/open_model_zoo
Pre-trained Deep Learning models and demos (high quality and extremely fast) - open_model_zoo/models/intel/bert-large-uncased-whole-word-masking-squad-int8-0001/README.md at master · openvinotoolkit/open_model_zoo