1. 合并star和star3框架
2. 修改star和star3的model type
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10492793

1. 增加传入table_id
2. 将result和table的结构统一
3. 默认开启is_use_sqlite
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10492027

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10491951

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10490937

1. Change the logic of using fast tokenizer from mode to user arguments and tokenizer_config.json
This is to fix the problem of RANER must use fast tokenizer in some special models.
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10488982

新增ofa关于日常场景文字识别的任务，主要包括：
1、新增pipeline及task名称定义；
2、新增pipeline、task、model及prepreocess核心类方法的代码逻辑；
3、其它同步修正的小细节逻辑；
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10471089

1. Fix bugs in daily test
2. Fix a bug that the updating of lr is before the first time of updating of optimizer
    TODO this will still cause warnings when GA is above 1
3. Remove the judgement of mode in text-classification's preprocessor to fit the base trainer(Bug)
     Update some regression bins to fit the preprocessor
4. Update the regression tool to let outer code modify atol and rtol
5. Add the default metric for text-classification task
6. Remove the useless ckpt conversion method in bert to avoid the requirement of tf when loading modeling_bert
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10430764

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10465241

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10437340

添加基于 Megatron-v3 的 GPT3 tensor 并行的推理代码
复用 DistributedPipeline 与 megatron-util
适用模型：1.3B/2.7B/13B 参数的 GPT-3 预训练生成模型
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10416721

1. 添加 gpt_neo 模型，因 checkpoint 归属于 Langboat 还未上传到模型库，已线下完成测试
2. 添加 text-generation task models 与 head，后续会将 gpt3，palm 等已上线文本生成模型统一为 backbone + head 结构的 task models
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10404249

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10412829

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10383770

    * T5 support translate

相比于master上的tableqa，做出了如下修复：
1. 修复了schema linking中的问题。
2. 同时设置了有history sql和没有history sql的两种输入
3. 增加了sqlite执行逻辑，可以返回sql执行结果
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10365114

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10340433

1.新增支持原始bert模型（非easynlp的 backbone prefix版本）
2.支持bert的在sequence classification/fill mask /token classification上的backbone head形式
3.统一了sequence classification几个任务的pipeline到一个类
4.fill mask 支持backbone head形式
5.token classification的几个子任务（ner，word seg， part of speech）的preprocessor 统一到了一起TokenClassificationPreprocessor
6. sequence classification的几个子任务（single classification， pair classification）的preprocessor 统一到了一起SequenceClassificationPreprocessor
7. 改动register中 cls的group_key 赋值位置，之前的group_key在多个decorators的情况下，会被覆盖，obj_cls的group_key信息不正确
8. 基于backbone head形式将 原本group_key和 module同名的情况尝试做调整，如下在modelscope/pipelines/nlp/sequence_classification_pipeline.py 中 
原本
 @PIPELINES.register_module(
    Tasks.sentiment_classification, module_name=Pipelines.sentiment_classification)
改成
@PIPELINES.register_module(
    Tasks.text_classification, module_name=Pipelines.sentiment_classification)
相应的configuration.json也有改动，这样的改动更符合任务和pipline（子任务）的关系。
8. 其他相应改动为支持上述功能
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10041463

1. add license declaration
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10216802

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10191736

    * add T5 for generation

mplug 相关任务 pipeline 输入字段统一为 'image' + 'text'
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10236282

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10222223

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10186837

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10083156

commit nlp_convai_text2sql_pretrain_cn inference process to modelscope
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10025155

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9856179

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10061562

加入space模型在banking数据集上的微调代码
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10006792

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10019083

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9980774

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9931748

add Deberta v2 modeling and fill_mask task, with master merged
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9966511

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9938140

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9969472

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9901220

    * add lstm-crf ner model code

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9872869

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9942858

    * [Add] add document-segmentation

支持 MPLUG 模型 image-text-retrieval 任务的 pipeline 和 finetune
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9919955

添加 gpt3 中小模型单机单卡下的 finetune 代码
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9899004

Maas新增FAQ问答模型
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9797053

支持多语言tokenize（830模型）
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9900916

添加 mplug 模型 caption 及 vqa 任务的 finetuning 支持
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9858028

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9880918

新增video summarization模型的inference和finetune
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9840532

添加 MPLUG 模型 image-captioning 任务
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9745826

删除模型仓库中多余的文件，只保留punkt.zip文件，运行时解压
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9800149

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9644184

    * fix ditributed training and eval