Huggingface bert text classification

BERT_Text_Classification_CPU.

. Using BERT, a NER model can be trained by feeding the output vector of each token into a classification layer that predicts the NER label. BERT is an advanced and very powerful language representation model that can be implemented for many tasks like question answering, text classification, text summarization, etc. py --model bert # bert + 其它 python run. A notebook for Finetuning BERT (and friends) for multi-label text classification. . Intuitively understand what BERT is; Preprocess text data for BERT and build PyTorch Dataset (tokenization, attention masks, and padding) Use Transfer Learning to build Sentiment Classifier using the Transformers.