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Macadam是一个以Tensorflow(Keras)和bert4keras为基础,专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。

Home Page: https://blog.csdn.net/rensihui

License: MIT License

Python 100.00%
tensorflow keras bert sequence-labeling text-classification relation-extraction embedding ner python3

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macadam's Issues

how to use pretrained model ?

such as a tensorflow version electra pretained includes 4 files: .index .meta .data vacab.txt ,how to adopt the parms: path_checkpoint, path_config, path_vocab

pip install issue:numpy version incompatiblle

Pip install Macadam, report :ERROR: nlg-yongzhuo 0.0.4 has requirement numpy==1.16.2, but you'll have numpy 1.18.1 which is incompatible.
ERROR: macropodus 0.0.6 has requirement numpy==1.16.2, but you'll have numpy 1.18.1 which is incompatible.

When i install macropodus manully, report: ERROR: macadam 0.0.1 has requirement numpy==1.18.1, but you'll have numpy 1.16.2 which is incompatible.

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