Instructions to use Marzu39/bert-base-turkish-QA-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Marzu39/bert-base-turkish-QA-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Marzu39/bert-base-turkish-QA-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Marzu39/bert-base-turkish-QA-cased") model = AutoModelForQuestionAnswering.from_pretrained("Marzu39/bert-base-turkish-QA-cased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8cefa378a1c60bee5f1a0d556b9cf9ed4d49a64b81c2f4d974df9a99ad91e9d
- Size of remote file:
- 735 MB
- SHA256:
- 8f1068d12eac84c73cdbd5aa17300c7370353ed3f04eaafcde0fdf9837a0f843
路
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