---
library_name: transformers
license: mit
language:
- tr
metrics:
- accuracy
- f1
- precision
- recall
pipeline_tag: text-classification
---


# About the Model

This model is a Turkish-based convBERT model created to classify Turkish social media bullying data. Classes included in the model

* Cinsiyetçilik
* Irkçılık
* Kızdırma
* Nötr


The model was trained from a dataset containing 2981 Twitter data.




## Dependency 

pip install transformers

pip install torch


## Example 


```python
from transformers import ConvBertTokenizer, ConvBertForSequenceClassification,TextClassificationPipeline

tokenizer = ConvBertTokenizer.from_pretrained("AIZinu/convBERT-turk-based-cyberbullying")
model = ConvBertForSequenceClassification.from_pretrained("AIZinu/convBERT-turk-based-cyberbullying")

pipe= TextClassificationPipeline(model=model, tokenizer=tokenizer)

print(pipe("Hadi modeli deneyelim"))
```

Result:

[{'label': 'LABEL_3', 'score': 0.9994651675224304}]

## Model Card Authors

* Bilge Nur BEKAR