coffee mate:Tensorflow.js用于咖啡 源码
BERT的最好的朋友。 安装 Ernie需要Python 3.6或更高版本。 pip install ernie 微调 句子分类 from ernie import SentenceClassifier , Models import pandas as pd tuples = [( "This is a positive example. I'm very happy today." , 1 ), ( "This is a negative sentence. Everything was wrong today at work." , 0 )] df = pd . DataFrame ( tuples ) classifier = SentenceClassifier ( model_name = Models . BertBaseUncased , max_le
文件列表
coffee-mate-main.zip
(预估有个10文件)
coffee-mate-main
README.md
2KB
profile.png
8KB
notebooks
Coffee Review Data Exploration.ipynb
12KB
Classification wth NNLM.ipynb
124KB
Coffee Review Scraping with BeautifulSoup.ipynb
14KB
Deployment to TensorflowJS.ipynb
12KB
Classification for the Browser.ipynb
133KB
Classification with BERT.ipynb
101KB
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