Instructions to use hemekci/off_detection_turkish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hemekci/off_detection_turkish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hemekci/off_detection_turkish")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hemekci/off_detection_turkish") model = AutoModelForSequenceClassification.from_pretrained("hemekci/off_detection_turkish") - Notebooks
- Google Colab
- Kaggle
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### Training Data
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Number of training sentences: 31,277
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|OFFENSIVE |RESULT |
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### Training Data
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Number of training sentences: 31,277
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**Example Tweets**
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- 19823 Daliaan yifng cok erken attin be... 1.38 ...| NOT|
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- 12966 Herkesin akıllı geçindiği bir sosyal medyamız ... |NOT|
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- 5788 Maçın özetlerini izleyenler futbolcular gidiyo... |NOT|
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- 30525 @USER Bak biri kollarımda uyuyup gitmem diyor..|NOT|
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- 26468 Helal olsun be :) Norveçten sabaha karşı geldi... | OFF|
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- 14105 @USER Sunu cekecek ve güzel oldugunu... |OFF|
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- 4958 Ya seni yerim ben şapşal şey 🤗 | NOT|
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|OFFENSIVE |RESULT |
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