class_docstr: 用于读取预训练的 embedding, 读取结果可直接载入为模型参数。
class_docstr_tok: ["\u7528\u4e8e\u8bfb\u53d6\u9884\u8bad\u7ec3\u7684","embedding",",","\u8bfb\u53d6\u7ed3\u679c\u53ef\u76f4\u63a5\u8f7d\u5165\u4e3a\u6a21\u578b\u53c2\u6570\u3002"]
code: def __init__(self):
      super(EmbedLoader, self).__init__()
  
file_path: fastNLP/fastNLP/io/embed_loader.py
imports: import logging
  import os
  from typing import Callable
  import numpy
  from fastNLP.core.utils.utils import Option
  from fastNLP.core.vocabulary import Vocabulary
  from fastNLP.core.log import logger
label_desc: Use image node_id 1 to create a new EmbedLoader object  with example: obj = EmbedLoader()