Instructions to use savasy/bert-turkish-text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use savasy/bert-turkish-text-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="savasy/bert-turkish-text-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("savasy/bert-turkish-text-classification") model = AutoModelForSequenceClassification.from_pretrained("savasy/bert-turkish-text-classification") - Notebooks
- Google Colab
- Kaggle
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README.md
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## Citation
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@misc{yildirim2024finetuning,
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title={Fine-tuning Transformer-based Encoder for Turkish Language Understanding Tasks},
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@book{yildirim2021mastering,
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title={Mastering Transformers: Build state-of-the-art models from scratch with advanced natural language processing techniques},
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author={Yildirim, Savas and Asgari-Chenaghlu, Meysam},
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```
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## Citation
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Please cite the following papers if needed
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```
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@misc{yildirim2024finetuning,
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title={Fine-tuning Transformer-based Encoder for Turkish Language Understanding Tasks},
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@book{yildirim2021mastering,
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title={Mastering Transformers: Build state-of-the-art models from scratch with advanced natural language processing techniques},
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author={Yildirim, Savas and Asgari-Chenaghlu, Meysam},
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