glove预训练词向量下载，保存为.vec文件

你可以在以下网站下载GloVe预训练词向量：

1. Stanford NLP Group：https://nlp.stanford.edu/projects/glove/
2. GitHub：https://github.com/stanfordnlp/GloVe

选择下载你需要的词向量，比如说GloVe.6B，它包含了600000个词汇的向量，每个向量的维度为300。下载完成后，将解压后的文件保存为.vec格式即可。以下是一个示例代码：

import urllib.request

# 下载GloVe预训练词向量
url = 'http://nlp.stanford.edu/data/glove.6B.zip'
urllib.request.urlretrieve(url, 'glove.6B.zip')

# 解压文件
import zipfile
with zipfile.ZipFile('glove.6B.zip', 'r') as zip_ref:
    zip_ref.extractall('glove.6B')

# 将词向量保存为.vec文件
import os
import numpy as np

def save_word_vectors_to_file(file_path, word_vectors):
    with open(file_path, 'w', encoding='utf-8') as f_out:
        for word, vector in word_vectors.items():
            vector_str = ' '.join([str(val) for val in vector])
            f_out.write(f"{word} {vector_str}\n")

def load_word_vectors_from_file(file_path):
    word_vectors = {}
    with open(file_path, 'r', encoding='utf-8') as f_in:
        for line in f_in:
            parts = line.strip().split()
            word = parts[0]
            vector = np.array([float(val) for val in parts[1:]])
            word_vectors[word] = vector
    return word_vectors

glove_file = 'glove.6B/glove.6B.300d.txt'
word_vectors = load_word_vectors_from_file(glove_file)
save_word_vectors_to_file('glove.6B/glove.6B.300d.vec', word_vectors)

这个代码会从Stanford NLP Group的网站下载GloVe.6B预训练词向量，解压文件，然后保存为.vec格式。你可以更改文件路径和下载的词向量类型来适应你的需要。