Metadata-Version: 2.1
Name: torchblocks-chen
Version: 1.0.1.6
Summary: A PyTorch-based toolkit for natural language processing
Home-page: https://github.com/lonePatient/TorchBlocks
Author: chen
Author-email: liuweitangmath@163.com
License: MIT
Description: ## TorchBlocks
        
        A PyTorch-based toolkit for natural language processing
        
        
        ### Requirements
        
        - transformers>=4.1.1
        - torch>=1.6.0
        
        TorchBlocks requires Python 3.6+. We recommend installing TorchBlocks in a Linux or OSX environment.
        
        ### Installation
        
        Recommended (because of active development):
        
        ```shell
        git clone https://github.com/lonePatient/TorchBlocks.git
        cd TorchBlocks
        python setup.py install
        ```
        
        ### Tutorials
        
        * Tutorial 1 (text classification): [task_text_classification_cola.py](https://github.com/lonePatient/TorchBlocks/blob/master/examples/task_text_classification_cola.py)
        * Tutorial 2 (siamese similarity): [task_siamese_similarity_afqmc.py](https://github.com/lonePatient/TorchBlocks/blob/master/examples/task_siamese_similarity_afqmc.py)
        * Tutorial 3 (sequence labeling): [task_sequence_labeling_ner_crf.py](https://github.com/lonePatient/TorchBlocks/blob/master/examples/task_sequence_labeling_ner_crf.py)
        * Tutorial 4 (sentence similarity): [task_sentence_similarity_lcqmc.py](https://github.com/lonePatient/TorchBlocks/blob/master/examples/task_sentence_similarity_lcqmc.py)
        * Tutorial 5 (triple similarity): [task_triple_similarity_epidemic.py](https://github.com/lonePatient/TorchBlocks/blob/master/examples/task_triple_similarity_epidemic.py)
        * Example scripts for each task: [TorchBlocks/examples/](https://github.com/lonePatient/TorchBlocks/tree/master/examples)
        
        
Keywords: NLP deep learning transformer pytorch BERT
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.6.0
Description-Content-Type: text/markdown
