Python

huggingface has released a Japanese model for BERT.

The Japanese model is included in transformers.

However, I stumbled over a few things before I could get it to actually work in a Mac environment, so I’ll leave a note.

Preliminaries: Installing mecab

The morphological analysis engine, mecab, is required to use BERT’s Japanese model.

The tokenizer will probably ask for mecab.

This time, we will use homebrew to install Mecab and ipadic.

Mac でpythonの環境構築

Mac にpythonをどうやってインストールしたらいいのか悩んでいませんか？

単純にhome brewを使ってインストールしてもいいのですが、 以下のデメリットがあります。

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NeuralClassifier: An Open-source Neural Hierarchical Multi-label Text Classification Toolkit is a python library for multi-label document classification problems published by Tencent.

For more information, see

[NeuralClassifier: An Open-source Neural Hierarchical Multi-label Text Classification Toolkit](https://github.com/Tencent/NeuralNLP- NeuralClassifier) NeuralClassifier is designed for quick implementation of neural models for hierarchical multi-label classification task, which is more challenging and common in real-world scenarios.

for more details.

NeuralClassifier is designed for quick implementation of neural models for hierarchical multi-label classification task, which is more challenging and common in real-world scenarios.