Metadata-Version: 2.1
Name: MiSeCom
Version: 0.1.1
Summary: Detect if the English has missing sentence components such as Subject, Verb, Object
Author: Le Minh Khoi
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: torch
Requires-Dist: pytorch-lightning
Requires-Dist: wandb
Requires-Dist: transformers
Requires-Dist: datasets
Requires-Dist: tokenizers

# Missing Sentence Components

Multilabel classification with RoBERTa from huggingface library

## How to use

```bash
pip install python
```

```python
from MiSeCom import MissSentComp
miss_sentence_component = MissSentComp('transZ/misecom', 'roberta-base')
sent = "I education company."
print(miss_sentence_component(sent)) # I education company <ma> <mp> <mv>
```
