总参数量: 31782912+24*12596224+1049600 = 335141888 实验采用的huggingface的Transformers实现 Bert-Large模型的结构: BertModel( (embeddings): BertEmbeddings( (word_embeddings): Embedding(30522, 1024, padding_idx=0) (position_embeddings): Embedding(512, 1024) (token_type_embeddings): Embedding(2, 102...
具体而言,此模型是一个bert-large-cased模型,在标准CoNLL-2003命名实体识别(https://www.aclweb.org/anthology/W03-0419.pdf)数据集的英文版上进行了微调。 如果要在同一数据集上使用较小的 BERT 模型进行微调,也可以使用基于 NER 的 BERT(https://huggingface.co/dslim/bert-base-NER/) 版本。 本文介绍了如...
sparseml.transformers.train.question_answering \ --output_dir bert_large_uncased-squad \ --model_name_or_path zoo:bert-large-wikipedia_bookcorpus-pruned80.4block_quantized \ --distill_teacher zoo:nlp/question_answering/bert-large/pytorch/huggingface/squad/base-none \ --recipe zoo:nlp/question_ans...
Usage (HuggingFace Transformers) Installtransformerspackage: pip install transformers Then you can use this model for fill-mask task like this: fromtransformersimportpipeline model_path ="5CD-AI/viso-twhin-bert-large"mask_filler = pipeline("fill-mask", model_path) mask_filler("đúng nhận ...
For details about the original model, check out BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding, HuggingFace's Transformers: State-of-the-art Natural Language Processing. Tokenization occurs using the BERT tokenizer (see the demo code for impl...
SharedComputeCapacityEnabledtask : fill-masklicense : apache-2.0model_specific_defaults : ordereddict({'apply_deepspeed': 'true', 'apply_lora': 'true', 'apply_ort': 'true'})datasets : bookcorpus, wikipediahiddenlayerscannedhuggingface_model_id : bert-large-uncasedinference_compute_allow_list : ...
Before fine-tuning, we first converted the pretrained model to the PyTorch version, using the HuggingFace package (version 2.3)62. For fine-tuning, we utilized our established codebase https://github.com/ZhiGroup/pytorch_ehr for the implementation of BERT_only, GRU, bi-GRU, and RETAIN models...
huggingface-web 4 年前 Migrate model card from transformers-repo fc67c89 Julien Chaumond 4 年前 For clarity, delete deprecated modelcard.json e78ea72 Julien Chaumond 4 年前 Add tokenizer configuration 93a42ff Thomas Wolf 4 年前 介绍
如果要在同一数据集上使用较小的 BERT 模型进行微调,也可以使用基于 NER 的 BERT(https://huggingface.co/dslim/bert-base-NER/) 版本。 本文介绍了如何使用MindStudio将hugging face上开源的bert_large_NER模型部署到Ascend平台上,并进行数据预处理、推理脚本的开发,在CoNLL-2003命名实体识别数据集上完成推理任务...
如果要在同一数据集上使用较小的 BERT 模型进行微调,也可以使用基于 NER 的 BERT(https://huggingface.co/dslim/bert-base-NER/) 版本。 本文介绍了如何使用MindStudio将hugging face上开源的bert_large_NER模型部署到Ascend平台上,并进行数据预处理、推理脚本的开发,在CoNLL-2003命名实体识别数据集上完成推理任务...