metadata

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

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