Harvard transformer NLP 模型 openNMT 简介入门

项目网址：

OpenNMT - Open-Source Neural Machine Translation

logo：

一，从应用的层面先跑通 Harvard transformer

GitHub - harvardnlp/annotated-transformer: An annotated implementation of the Transformer paper.

git clone https://github.com/harvardnlp/annotated-transformer.git
cd annotated-transformer/

1. 环境搭建

 conda create --name ilustrate_transformer_env python=3.9conda activate ilustrate_transformer_envpip install -r requirements.txt  -i https://pypi.tuna.tsinghua.edu.cn/simple

问题：TypeError: issubclass() arg 1 must be a class

原因：这是由python中的后端包之一的兼容性问题引起的问题，包“pydantic”

执行下面命令可以解决

python -m pip install -U pydantic spacy

会遇到下载不到数据的问题，因为有个网址废弃了：www.quest......

改成最新版本的torchtext的内容即可：

/home/hipper/anaconda3/envs/ilustrate_transformer_env/lib/python3.9/site-packages/torchtext/datasets/multi30k.py

 13 '''LL::14 URL = {15     "train": r"http://www.quest.dcs.shef.ac.uk/wmt16_files_mmt/training.tar.gz",16     "valid": r"http://www.quest.dcs.shef.ac.uk/wmt16_files_mmt/validation.tar.gz",17     "test": r"http://www.quest.dcs.shef.ac.uk/wmt16_files_mmt/mmt16_task1_test.tar.gz",18 }1920 MD5 = {21     "train": "20140d013d05dd9a72dfde46478663ba05737ce983f478f960c1123c6671be5e",22     "valid": "a7aa20e9ebd5ba5adce7909498b94410996040857154dab029851af3a866da8c",23     "test": "0681be16a532912288a91ddd573594fbdd57c0fbb81486eff7c55247e35326c2",24 }25 '''26 # TODO: Update URL to original once the server is back up (see https://github.com/pytorch/text/issues/1756)27 URL = {28     "train": r"https://raw.githubusercontent.com/neychev/small_DL_repo/master/datasets/Multi30k/training.tar.gz",29     "valid": r"https://raw.githubusercontent.com/neychev/small_DL_repo/master/datasets/Multi30k/validation.tar.gz",30     "test": r"https://raw.githubusercontent.com/neychev/small_DL_repo/master/datasets/Multi30k/mmt16_task1_test.tar.gz",31 }3233 MD5 = {34     "train": "20140d013d05dd9a72dfde46478663ba05737ce983f478f960c1123c6671be5e",35     "valid": "a7aa20e9ebd5ba5adce7909498b94410996040857154dab029851af3a866da8c",36     "test": "6d1ca1dba99e2c5dd54cae1226ff11c2551e6ce63527ebb072a1f70f72a5cd36",37 }

运行：