
## roberta_chinese_base

### Overview

**Language model:** roberta-base
**Model size:** 392M
**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:** You have to call **BertTokenizer** instead of RobertaTokenizer !!!

```
import torch
from transformers import BertTokenizer, BertModel
tokenizer = BertTokenizer.from_pretrained("clue/roberta_chinese_base")
roberta = BertModel.from_pretrained("clue/roberta_chinese_base")
```

### 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/

{"language": "zh"}
transformers pytorch jax roberta zh endpoints_compatible region:us
TAGS
#transformers #pytorch #jax #roberta #zh #endpoints_compatible #region-us 


## roberta_chinese_base

### Overview

Language model: roberta-base
Model size: 392M
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: You have to call BertTokenizer instead of RobertaTokenizer !!!



### About CLUE benchmark

Organization of Language Understanding Evaluation benchmark for Chinese: tasks & datasets, baselines, pre-trained Chinese models, corpus and leaderboard.

Github: URL
Website: URL

## roberta_chinese_base ### Overview

Language model: roberta-base
Model size: 392M
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: You have to call BertTokenizer instead of RobertaTokenizer !!! ### About CLUE benchmark

Organization of Language Understanding Evaluation benchmark for Chinese: tasks & datasets, baselines, pre-trained Chinese models, corpus and leaderboard.

Github: URL
Website: URL
TAGS
#transformers #pytorch #jax #roberta #zh #endpoints_compatible #region-us 
 ## roberta_chinese_base ### Overview

Language model: roberta-base
Model size: 392M
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: You have to call BertTokenizer instead of RobertaTokenizer !!! ### About CLUE benchmark

Organization of Language Understanding Evaluation benchmark for Chinese: tasks & datasets, baselines, pre-trained Chinese models, corpus and leaderboard.

Github: URL
Website: URL
passage: TAGS
#transformers #pytorch #jax #roberta #zh #endpoints_compatible #region-us 
## roberta_chinese_base### Overview

Language model: roberta-base
Model size: 392M
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: You have to call BertTokenizer instead of RobertaTokenizer !!!### About CLUE benchmark

Organization of Language Understanding Evaluation benchmark for Chinese: tasks & datasets, baselines, pre-trained Chinese models, corpus and leaderboard.

Github: URL
Website: URL