Text Classification
Transformers
Safetensors
PyTorch
Turkish
bert
sentiment-analysis
turkish
Eval Results (legacy)
text-embeddings-inference
Instructions to use DexopT/BERTURK with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DexopT/BERTURK with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DexopT/BERTURK")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DexopT/BERTURK") model = AutoModelForSequenceClassification.from_pretrained("DexopT/BERTURK") - Notebooks
- Google Colab
- Kaggle
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README.md
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```bibtex
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@misc{berturk2025,
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author = {
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title = {BERTurk: Turkish Sentiment Analysis},
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year = {
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publisher = {Hugging Face},
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url = {https://huggingface.co/DexopT/BERTURK}
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}
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```bibtex
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@misc{berturk2025,
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author = {Yılmaz KARAAĞAÇ (DexopT)},
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title = {BERTurk: Turkish Sentiment Analysis},
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year = {2026},
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publisher = {Hugging Face},
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url = {https://huggingface.co/DexopT/BERTURK}
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}
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