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+%global _empty_manifest_terminate_build 0
+Name:		python-tfkit
+Version:	0.8.20
+Release:	1
+Summary:	Transformers kit - Multi-task QA/Tagging/Multi-label Multi-Class Classification/Generation with BERT/ALBERT/T5/BERT
+License:	Apache
+URL:		https://github.com/voidful/TFkit
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/e4/2c/3fcd1b598bf9df1fa113f9a6b962ac9be7cf4f2ba61683c1c9b7b775c238/tfkit-0.8.20.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-transformers
+Requires:	python3-tensorboard
+Requires:	python3-tensorboardX
+Requires:	python3-torch
+Requires:	python3-matplotlib
+Requires:	python3-nlp2
+Requires:	python3-tqdm
+Requires:	python3-inquirer
+Requires:	python3-numpy
+Requires:	python3-scipy
+Requires:	python3-pytorch-crf
+Requires:	python3-sentencepiece
+Requires:	python3-pandas
+Requires:	python3-accelerate
+Requires:	python3-joblib
+Requires:	python3-scikit-learn
+Requires:	python3-editdistance
+
+%description
+<p  align="center">
+    <br>
+    <img src="https://raw.githubusercontent.com/voidful/TFkit/master/docs/img/tfkit.png" width="300"/>
+    <br>
+</p>
+<br/>
+<p align="center">
+    <a href="https://pypi.org/project/tfkit/">
+        <img alt="PyPI" src="https://img.shields.io/pypi/v/tfkit">
+    </a>
+    <a href="https://github.com/voidful/tfkit">
+        <img alt="Download" src="https://img.shields.io/pypi/dm/tfkit">
+    </a>
+    <a href="https://github.com/voidful/tfkit">
+        <img alt="Build" src="https://img.shields.io/github/workflow/status/voidful/tfkit/Python package">
+    </a>
+    <a href="https://github.com/voidful/tfkit">
+        <img alt="Last Commit" src="https://img.shields.io/github/last-commit/voidful/tfkit">
+    </a>
+    <a href="https://www.codefactor.io/repository/github/voidful/tfkit/overview/master">
+        <img src="https://www.codefactor.io/repository/github/voidful/tfkit/badge/master" alt="CodeFactor" />
+    </a>
+    <a href="https://github.com/voidful/tfkit">
+        <img src="https://visitor-badge.glitch.me/badge?page_id=voidful.tfkit" alt="Visitor" />
+    </a>
+    <a href="https://codecov.io/gh/voidful/TFkit">
+      <img src="https://codecov.io/gh/voidful/TFkit/branch/master/graph/badge.svg" />
+    </a>
+</p>
+
+## What is it
+TFKit is a tool kit mainly for language generation.  
+It leverages the use of transformers on many tasks with different models in this all-in-one framework.   
+All you need is a little change of config.  
+
+## Task Supported
+With transformer models - BERT/ALBERT/T5/BART......  
+|  |  |
+|-|-|
+| Text Generation | :memo: seq2seq language model |
+| Text Generation | :pen: causal language model |
+| Text Generation | :printer: once generation model / once generation model with ctc loss |
+| Text Generation | :pencil: onebyone generation model |
+
+# Getting Started
+Learn more from the [document](https://voidful.github.io/TFkit/).  
+
+## How To Use
+
+### Step 0: Install
+Simple installation from PyPI
+```bash
+pip install git+https://github.com/voidful/TFkit.git@refactor-dataset
+```
+
+### Step 1: Prepare dataset in csv format
+[Task format](https://voidful.tech/TFkit/tasks/)
+``` 
+input, target
+```
+
+### Step 2: Train model
+```bash
+tfkit-train \
+--task clas \
+--config xlm-roberta-base \
+--train training_data.csv \
+--test testing_data.csv \
+--lr 4e-5 \
+--maxlen 384 \
+--epoch 10 \
+--savedir roberta_sentiment_classificer
+```
+
+### Step 3: Evaluate
+```bash
+tfkit-eval \
+--task roberta_sentiment_classificer/1.pt \
+--metric clas \
+--valid testing_data.csv
+```
+
+## Advanced features
+<details>
+  <summary>Multi-task training </summary>
+
+  ```bash
+  tfkit-train \
+    --task clas clas \
+    --config xlm-roberta-base \
+    --train training_data_taskA.csv training_data_taskB.csv \
+    --test testing_data_taskA.csv testing_data_taskB.csv \
+    --lr 4e-5 \
+    --maxlen 384 \
+    --epoch 10 \
+    --savedir roberta_sentiment_classificer_multi_task
+  ```
+</details>
+
+## Not maintained task
+Due to time constraints, the following tasks are temporarily not supported
+|  |  |
+|-|-|
+| Classification  | :label: multi-class and multi-label classification |
+| Question Answering  | :page_with_curl: extractive qa |
+| Question Answering  | :radio_button: multiple-choice qa |
+| Tagging  | :eye_speech_bubble: sequence level tagging / sequence level with crf  |
+| Self-supervise Learning | :diving_mask: mask language model |
+
+## Supplement
+- [transformers models list](https://huggingface.co/models): you can find any pretrained models here   
+- [nlprep](https://github.com/voidful/NLPrep): download and preprocessing data in one line     
+- [nlp2go](https://github.com/voidful/nlp2go): create demo api as quickly as possible.
+
+
+## Contributing
+Thanks for your interest.There are many ways to contribute to this project. Get started [here](https://github.com/voidful/tfkit/blob/master/CONTRIBUTING.md).
+
+## License ![PyPI - License](https://img.shields.io/github/license/voidful/tfkit)
+
+* [License](https://github.com/voidful/tfkit/blob/master/LICENSE)
+
+## Icons reference
+Icons modify from <a href="http://www.freepik.com/" title="Freepik">Freepik</a> from <a href="https://www.flaticon.com/" title="Flaticon">www.flaticon.com</a>      
+Icons modify from <a href="https://www.flaticon.com/authors/nikita-golubev" title="Nikita Golubev">Nikita Golubev</a> from <a href="https://www.flaticon.com/" title="Flaticon">www.flaticon.com</a>      
+
+
+
+
+%package -n python3-tfkit
+Summary:	Transformers kit - Multi-task QA/Tagging/Multi-label Multi-Class Classification/Generation with BERT/ALBERT/T5/BERT
+Provides:	python-tfkit
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-tfkit
+<p  align="center">
+    <br>
+    <img src="https://raw.githubusercontent.com/voidful/TFkit/master/docs/img/tfkit.png" width="300"/>
+    <br>
+</p>
+<br/>
+<p align="center">
+    <a href="https://pypi.org/project/tfkit/">
+        <img alt="PyPI" src="https://img.shields.io/pypi/v/tfkit">
+    </a>
+    <a href="https://github.com/voidful/tfkit">
+        <img alt="Download" src="https://img.shields.io/pypi/dm/tfkit">
+    </a>
+    <a href="https://github.com/voidful/tfkit">
+        <img alt="Build" src="https://img.shields.io/github/workflow/status/voidful/tfkit/Python package">
+    </a>
+    <a href="https://github.com/voidful/tfkit">
+        <img alt="Last Commit" src="https://img.shields.io/github/last-commit/voidful/tfkit">
+    </a>
+    <a href="https://www.codefactor.io/repository/github/voidful/tfkit/overview/master">
+        <img src="https://www.codefactor.io/repository/github/voidful/tfkit/badge/master" alt="CodeFactor" />
+    </a>
+    <a href="https://github.com/voidful/tfkit">
+        <img src="https://visitor-badge.glitch.me/badge?page_id=voidful.tfkit" alt="Visitor" />
+    </a>
+    <a href="https://codecov.io/gh/voidful/TFkit">
+      <img src="https://codecov.io/gh/voidful/TFkit/branch/master/graph/badge.svg" />
+    </a>
+</p>
+
+## What is it
+TFKit is a tool kit mainly for language generation.  
+It leverages the use of transformers on many tasks with different models in this all-in-one framework.   
+All you need is a little change of config.  
+
+## Task Supported
+With transformer models - BERT/ALBERT/T5/BART......  
+|  |  |
+|-|-|
+| Text Generation | :memo: seq2seq language model |
+| Text Generation | :pen: causal language model |
+| Text Generation | :printer: once generation model / once generation model with ctc loss |
+| Text Generation | :pencil: onebyone generation model |
+
+# Getting Started
+Learn more from the [document](https://voidful.github.io/TFkit/).  
+
+## How To Use
+
+### Step 0: Install
+Simple installation from PyPI
+```bash
+pip install git+https://github.com/voidful/TFkit.git@refactor-dataset
+```
+
+### Step 1: Prepare dataset in csv format
+[Task format](https://voidful.tech/TFkit/tasks/)
+``` 
+input, target
+```
+
+### Step 2: Train model
+```bash
+tfkit-train \
+--task clas \
+--config xlm-roberta-base \
+--train training_data.csv \
+--test testing_data.csv \
+--lr 4e-5 \
+--maxlen 384 \
+--epoch 10 \
+--savedir roberta_sentiment_classificer
+```
+
+### Step 3: Evaluate
+```bash
+tfkit-eval \
+--task roberta_sentiment_classificer/1.pt \
+--metric clas \
+--valid testing_data.csv
+```
+
+## Advanced features
+<details>
+  <summary>Multi-task training </summary>
+
+  ```bash
+  tfkit-train \
+    --task clas clas \
+    --config xlm-roberta-base \
+    --train training_data_taskA.csv training_data_taskB.csv \
+    --test testing_data_taskA.csv testing_data_taskB.csv \
+    --lr 4e-5 \
+    --maxlen 384 \
+    --epoch 10 \
+    --savedir roberta_sentiment_classificer_multi_task
+  ```
+</details>
+
+## Not maintained task
+Due to time constraints, the following tasks are temporarily not supported
+|  |  |
+|-|-|
+| Classification  | :label: multi-class and multi-label classification |
+| Question Answering  | :page_with_curl: extractive qa |
+| Question Answering  | :radio_button: multiple-choice qa |
+| Tagging  | :eye_speech_bubble: sequence level tagging / sequence level with crf  |
+| Self-supervise Learning | :diving_mask: mask language model |
+
+## Supplement
+- [transformers models list](https://huggingface.co/models): you can find any pretrained models here   
+- [nlprep](https://github.com/voidful/NLPrep): download and preprocessing data in one line     
+- [nlp2go](https://github.com/voidful/nlp2go): create demo api as quickly as possible.
+
+
+## Contributing
+Thanks for your interest.There are many ways to contribute to this project. Get started [here](https://github.com/voidful/tfkit/blob/master/CONTRIBUTING.md).
+
+## License ![PyPI - License](https://img.shields.io/github/license/voidful/tfkit)
+
+* [License](https://github.com/voidful/tfkit/blob/master/LICENSE)
+
+## Icons reference
+Icons modify from <a href="http://www.freepik.com/" title="Freepik">Freepik</a> from <a href="https://www.flaticon.com/" title="Flaticon">www.flaticon.com</a>      
+Icons modify from <a href="https://www.flaticon.com/authors/nikita-golubev" title="Nikita Golubev">Nikita Golubev</a> from <a href="https://www.flaticon.com/" title="Flaticon">www.flaticon.com</a>      
+
+
+
+
+%package help
+Summary:	Development documents and examples for tfkit
+Provides:	python3-tfkit-doc
+%description help
+<p  align="center">
+    <br>
+    <img src="https://raw.githubusercontent.com/voidful/TFkit/master/docs/img/tfkit.png" width="300"/>
+    <br>
+</p>
+<br/>
+<p align="center">
+    <a href="https://pypi.org/project/tfkit/">
+        <img alt="PyPI" src="https://img.shields.io/pypi/v/tfkit">
+    </a>
+    <a href="https://github.com/voidful/tfkit">
+        <img alt="Download" src="https://img.shields.io/pypi/dm/tfkit">
+    </a>
+    <a href="https://github.com/voidful/tfkit">
+        <img alt="Build" src="https://img.shields.io/github/workflow/status/voidful/tfkit/Python package">
+    </a>
+    <a href="https://github.com/voidful/tfkit">
+        <img alt="Last Commit" src="https://img.shields.io/github/last-commit/voidful/tfkit">
+    </a>
+    <a href="https://www.codefactor.io/repository/github/voidful/tfkit/overview/master">
+        <img src="https://www.codefactor.io/repository/github/voidful/tfkit/badge/master" alt="CodeFactor" />
+    </a>
+    <a href="https://github.com/voidful/tfkit">
+        <img src="https://visitor-badge.glitch.me/badge?page_id=voidful.tfkit" alt="Visitor" />
+    </a>
+    <a href="https://codecov.io/gh/voidful/TFkit">
+      <img src="https://codecov.io/gh/voidful/TFkit/branch/master/graph/badge.svg" />
+    </a>
+</p>
+
+## What is it
+TFKit is a tool kit mainly for language generation.  
+It leverages the use of transformers on many tasks with different models in this all-in-one framework.   
+All you need is a little change of config.  
+
+## Task Supported
+With transformer models - BERT/ALBERT/T5/BART......  
+|  |  |
+|-|-|
+| Text Generation | :memo: seq2seq language model |
+| Text Generation | :pen: causal language model |
+| Text Generation | :printer: once generation model / once generation model with ctc loss |
+| Text Generation | :pencil: onebyone generation model |
+
+# Getting Started
+Learn more from the [document](https://voidful.github.io/TFkit/).  
+
+## How To Use
+
+### Step 0: Install
+Simple installation from PyPI
+```bash
+pip install git+https://github.com/voidful/TFkit.git@refactor-dataset
+```
+
+### Step 1: Prepare dataset in csv format
+[Task format](https://voidful.tech/TFkit/tasks/)
+``` 
+input, target
+```
+
+### Step 2: Train model
+```bash
+tfkit-train \
+--task clas \
+--config xlm-roberta-base \
+--train training_data.csv \
+--test testing_data.csv \
+--lr 4e-5 \
+--maxlen 384 \
+--epoch 10 \
+--savedir roberta_sentiment_classificer
+```
+
+### Step 3: Evaluate
+```bash
+tfkit-eval \
+--task roberta_sentiment_classificer/1.pt \
+--metric clas \
+--valid testing_data.csv
+```
+
+## Advanced features
+<details>
+  <summary>Multi-task training </summary>
+
+  ```bash
+  tfkit-train \
+    --task clas clas \
+    --config xlm-roberta-base \
+    --train training_data_taskA.csv training_data_taskB.csv \
+    --test testing_data_taskA.csv testing_data_taskB.csv \
+    --lr 4e-5 \
+    --maxlen 384 \
+    --epoch 10 \
+    --savedir roberta_sentiment_classificer_multi_task
+  ```
+</details>
+
+## Not maintained task
+Due to time constraints, the following tasks are temporarily not supported
+|  |  |
+|-|-|
+| Classification  | :label: multi-class and multi-label classification |
+| Question Answering  | :page_with_curl: extractive qa |
+| Question Answering  | :radio_button: multiple-choice qa |
+| Tagging  | :eye_speech_bubble: sequence level tagging / sequence level with crf  |
+| Self-supervise Learning | :diving_mask: mask language model |
+
+## Supplement
+- [transformers models list](https://huggingface.co/models): you can find any pretrained models here   
+- [nlprep](https://github.com/voidful/NLPrep): download and preprocessing data in one line     
+- [nlp2go](https://github.com/voidful/nlp2go): create demo api as quickly as possible.
+
+
+## Contributing
+Thanks for your interest.There are many ways to contribute to this project. Get started [here](https://github.com/voidful/tfkit/blob/master/CONTRIBUTING.md).
+
+## License ![PyPI - License](https://img.shields.io/github/license/voidful/tfkit)
+
+* [License](https://github.com/voidful/tfkit/blob/master/LICENSE)
+
+## Icons reference
+Icons modify from <a href="http://www.freepik.com/" title="Freepik">Freepik</a> from <a href="https://www.flaticon.com/" title="Flaticon">www.flaticon.com</a>      
+Icons modify from <a href="https://www.flaticon.com/authors/nikita-golubev" title="Nikita Golubev">Nikita Golubev</a> from <a href="https://www.flaticon.com/" title="Flaticon">www.flaticon.com</a>      
+
+
+
+
+%prep
+%autosetup -n tfkit-0.8.20
+
+%build
+%py3_build
+
+%install
+%py3_install
+install -d -m755 %{buildroot}/%{_pkgdocdir}
+if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
+if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
+if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
+if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
+pushd %{buildroot}
+if [ -d usr/lib ]; then
+	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/lib64 ]; then
+	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/bin ]; then
+	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/sbin ]; then
+	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+touch doclist.lst
+if [ -d usr/share/man ]; then
+	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
+fi
+popd
+mv %{buildroot}/filelist.lst .
+mv %{buildroot}/doclist.lst .
+
+%files -n python3-tfkit -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.8.20-1
+- Package Spec generated