Metadata-Version: 2.1
Name: nlp2go
Version: 0.2.3
Summary: hosting nlp models for demo purpose
Home-page: https://github.com/voidful/nlp2go
Author: Voidful
Author-email: voidful.stack@gmail.com
License: UNKNOWN
Description: <p  align="center">
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            <img src="https://raw.githubusercontent.com/voidful/nlp2go/master/docs/img/nlp2go.png" width="400"/>
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        <p align="center">
            <a href="https://pypi.org/project/nlp2go/">
                <img alt="PyPI" src="https://img.shields.io/pypi/v/nlp2go">
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            <a href="https://github.com/voidful/nlp2go">
                <img alt="Download" src="https://img.shields.io/pypi/dm/nlp2go">
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            <a href="https://github.com/voidful/nlp2go">
                <img alt="Build" src="https://img.shields.io/github/workflow/status/voidful/nlp2go/Python package">
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            <a href="https://github.com/voidful/nlp2go">
                <img alt="Last Commit" src="https://img.shields.io/github/last-commit/voidful/nlp2go">
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        ## nlp2go   
        **Hosting nlp models in one line**  
        
        ### Introduction
        Once the model is trained, we want to verify our model as quickly as possible.
        nlp2go provides a CLI interface and  Restful api that allows you to quickly deploy model to everyone.
        
        ### Feature
        There are many additional features :
        - Support loading multiple models at a time.
        - Provide input format checking.
        - You can also load models in python code.
        - Flexible handling of parameters so that parameter can be changed in each prediction.
        - Support huggingface transformers’s model
        - There are models in the Model Hub for you to try  
        
        # Documentation
        Learn more from the [docs](https://voidful.github.io/nlp2go/).  
        
        ## Quick Start
        
        ### Installing via pip
        ```bash
        pip install nlp2go
        ```
        
        ### hosting single model
        ```
        nlp2go --model model_path 
        ```
        ### hosting multiple models
        1. create a json file as below:
        ```json
        {
            "API1_PATH": {
              "model": "model1_path"
            },
            "API2_PATH": {
              "model": "model2_path"
            }
        }
        ```
        2. run
        ```
        nlp2go --json json_file_path  
        ```
        **You can also try nlp2go in Google Colab: [![Google Colab](https://colab.research.google.com/assets/colab-badge.svg "nlp2go")](https://colab.research.google.com/drive/15aYFPsa88A20g5R2QS3kyVrjGlccr0Qd?usp=sharing)**
        
        
        ## Contributing
        Thanks for your interest.There are many ways to contribute to this project. Get started [here](https://github.com/voidful/nlp2go/blob/master/CONTRIBUTING.md).
        
        ## License ![PyPI - License](https://img.shields.io/github/license/voidful/nlp2go)
        
        * [License](https://github.com/voidful/nlp2go/blob/master/LICENSE)
        
        ## Icons reference
        Icons modify from <a href="https://www.flaticon.com/free-icon/running_2151630" title="Good Ware">Good Ware</a> from <a href="https://www.flaticon.com/" title="Flaticon">www.flaticon.com</a>     
        Icons modify from <a href="https://www.flaticon.com/authors/freepik" title="Freepik">Freepik</a> from <a href="https://www.flaticon.com/" title="Flaticon">www.flaticon.com</a>    
        
Keywords: nlp tfkit classification generation tagging deep learning machine reading
Platform: UNKNOWN
Description-Content-Type: text/markdown
