Instructions to use lserinol/bert-turkish-question-answering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lserinol/bert-turkish-question-answering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="lserinol/bert-turkish-question-answering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("lserinol/bert-turkish-question-answering") model = AutoModelForQuestionAnswering.from_pretrained("lserinol/bert-turkish-question-answering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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language: tr
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---
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# bert-turkish-question-answering
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print(f"Question: {question}")
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print(f"Answer: {answer}\n")
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```
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language: tr
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license: bigcode-openrail-m
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base_model:
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- meta-llama/Llama-3.3-70B-Instruct
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pipeline_tag: text-classification
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tags:
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- finance
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---
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# bert-turkish-question-answering
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print(f"Question: {question}")
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print(f"Answer: {answer}\n")
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```
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