Create README.md

model_cards/clue/albert_chinese_small/README.md

+## albert_chinese_small
+
+### Overview
+
+**Language model:** albert-small
+**Model size:** 18.5M
+**Language:** Chinese
+**Training data:** [CLUECorpusSmall](https://github.com/CLUEbenchmark/CLUECorpus2020)
+**Eval data:** [CLUE dataset](https://github.com/CLUEbenchmark/CLUE)
+
+### Results
+
+For results on downstream tasks like text classification, please refer to [this repository](https://github.com/CLUEbenchmark/CLUE).
+
+### 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/