# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->
Turkish Toxic Comment Classifier trained on Turkish comments filtered from Jigsaw Multilingual Toxic Comment Classification. 
The model weights are initialized with [dbmdz/convbert-base-turkish-mc4-uncased](https://huggingface.co/dbmdz/convbert-base-turkish-mc4-uncased)


## Quick Usage 

```
from transformers import pipeline 
pipe = pipeline("text-classification", model="gokceuludogan/convbert-base-turkish-mc4-toxicity-uncased")
pipe("Ulan sen bizim köyü bizden iyi mi tanıyorsun ki bizim yazdıklarımızı siliyorsun?")
```

`LABEL_1` denotes `Toxic` while `LABEL_0` refers to `Neutral`. 
{"language": ["tr"], "license": "bsd", "metrics": ["accuracy"], "pipeline_tag": "text-classification"}
transformers pytorch convbert text-classification tr doi:10.57967/hf/0370 license:bsd autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #convbert #text-classification #tr #doi-10.57967/hf/0370 #license-bsd #autotrain_compatible #endpoints_compatible #region-us 

# Model Card for Model ID


Turkish Toxic Comment Classifier trained on Turkish comments filtered from Jigsaw Multilingual Toxic Comment Classification. 
The model weights are initialized with dbmdz/convbert-base-turkish-mc4-uncased


## Quick Usage 



'LABEL_1' denotes 'Toxic' while 'LABEL_0' refers to 'Neutral'. 
# Model Card for Model ID


Turkish Toxic Comment Classifier trained on Turkish comments filtered from Jigsaw Multilingual Toxic Comment Classification. 
The model weights are initialized with dbmdz/convbert-base-turkish-mc4-uncased ## Quick Usage 



'LABEL_1' denotes 'Toxic' while 'LABEL_0' refers to 'Neutral'.
TAGS
#transformers #pytorch #convbert #text-classification #tr #doi-10.57967/hf/0370 #license-bsd #autotrain_compatible #endpoints_compatible #region-us 
 # Model Card for Model ID


Turkish Toxic Comment Classifier trained on Turkish comments filtered from Jigsaw Multilingual Toxic Comment Classification. 
The model weights are initialized with dbmdz/convbert-base-turkish-mc4-uncased ## Quick Usage 



'LABEL_1' denotes 'Toxic' while 'LABEL_0' refers to 'Neutral'.
TAGS
#transformers #pytorch #convbert #text-classification #tr #doi-10.57967/hf/0370 #license-bsd #autotrain_compatible #endpoints_compatible #region-us 
# Model Card for Model ID


Turkish Toxic Comment Classifier trained on Turkish comments filtered from Jigsaw Multilingual Toxic Comment Classification. 
The model weights are initialized with dbmdz/convbert-base-turkish-mc4-uncased## Quick Usage 



'LABEL_1' denotes 'Toxic' while 'LABEL_0' refers to 'Neutral'.