metadata
language: zh
albert_chinese_small
Overview
Language model: albert-small Model size: 18.5M Language: Chinese Training data: CLUECorpusSmall Eval data: CLUE dataset
Results
For results on downstream tasks like text classification, please refer to this repository.
Usage
**NOTE:**Since sentencepiece is not used in albert_chinese_small model, you have to call BertTokenizer instead of AlbertTokenizer !!!
import torch
from transformers import BertTokenizer, AlbertModel
tokenizer = BertTokenizer.from_pretrained("clue/albert_chinese_small")
albert = AlbertModel.from_pretrained("clue/albert_chinese_small")
About CLUE benchmark
Organization of Language Understanding Evaluation benchmark for Chinese: tasks & datasets, baselines, pre-trained Chinese models, corpus and leaderboard.
Github: https://github.com/CLUEbenchmark Website: https://www.cluebenchmarks.com/