Instructions to use savasy/bert-base-turkish-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use savasy/bert-base-turkish-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="savasy/bert-base-turkish-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("savasy/bert-base-turkish-squad") model = AutoModelForQuestionAnswering.from_pretrained("savasy/bert-base-turkish-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -10,6 +10,16 @@ I fine-tuned Turkish-Bert-Model for Question-Answering problem with Turkish vers
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# Citation
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Please cite if you use it in your study
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```
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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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# Citation
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Please cite if you use it in your study
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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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author={Savas Yildirim},
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year={2024},
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eprint={2401.17396},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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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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