---
license: mit
language:
- tr
metrics:
- accuracy
- f1
- confusion_matrix
- recall
- precision
library_name: transformers
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 BertTokenizer, BertForSequenceClassification,TextClassificationPipeline

tokenizer = ConvBertTokenizer.from_pretrained("AIZinu/bert-turkish-based-cyberbullying-model")
model = ConvBertForSequenceClassification.from_pretrained("AIZinu/bert-turkish-based-cyberbullying-model")

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

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



## Model Card Authors

* Bilge Nur BEKAR