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@@ -10,4 +10,47 @@ metrics:
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  - precision
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  library_name: transformers
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  pipeline_tag: text-classification
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - precision
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  library_name: transformers
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  pipeline_tag: text-classification
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+ ---
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+ # About the Model
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+ This model is a Turkish-based convBERT model created to classify Turkish social media bullying data. Classes included in the model
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+ * Cinsiyetçilik
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+ * Irkçılık
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+ * Kızdırma
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+ * Nötr
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+ The model was trained from a dataset containing 2981 Twitter data.
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+ ## Dependency
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+ pip install transformers
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+ pip install torch
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+ ## Example
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+ ```python
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+ from transformers import BertTokenizer, BertForSequenceClassification,TextClassificationPipeline
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+ tokenizer = ConvBertTokenizer.from_pretrained("AIZinu/bert-turkish-based-cyberbullying-model")
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+ model = ConvBertForSequenceClassification.from_pretrained("AIZinu/bert-turkish-based-cyberbullying-model")
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+ pipe= TextClassificationPipeline(model=model, tokenizer=tokenizer)
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+ print(pipe("Hadi modeli deneyelim"))
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+ ```
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+ ## Model Card Authors
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+ * Bilge Nur BEKAR