Metadata-Version: 2.1
Name: bert-for-sequence-classification
Version: 0.0.2
Summary: Easy fine-tuning for BERT models
Home-page: UNKNOWN
Author: Tatiana Iazykova
Author-email: tania_yazykova@bk.ru
License: UNKNOWN
Description: # bert-for-sequence-classification
        Pipeline for easy fine-tuning of BERT architecture for sequence classification
        
        ## Quick Start
        
        ### Installation
        
        1. Install the library
        ```
        pip install bert-for-sequence-classification
        ```
           
        2. If you want to train you model on GPU, please install pytorch version compatible with your device.
        
        To find the version compatible with the cuda installed on your GPU, check 
        [Pytorch website](https://pytorch.org/get-started/previous-versions/).
        You can learn CUDA version installed on your device by typing `nvidia-smi` in console or
        `!nvidia-smi` in a notebook cell.
        
        ### CLI Use
        
        ```
        bert-clf-train --path_to_config <path to yaml file>\
        ```
        
        Example config file can be found [here](config.yaml)
        
        ### Jupyter notebook
        
        Example notebook can be found [here](example/pipeline_example.ipynb)
        
        
Keywords: python,bert,deep learning,nlp
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Description-Content-Type: text/markdown
