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:
- 3577f79cbb271d01433f82ab1d22c36ce698e63485f9b1289b9ebbfcf3633af3
- Size of remote file:
- 1.47 GB
- SHA256:
- ccc134ac938739a22d6caddc63d03a867065fde70e108dd564f82b70d5bd36b4
路
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