Instructions to use Marzu39/bert-base-turkish-128k-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Marzu39/bert-base-turkish-128k-qa with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="Marzu39/bert-base-turkish-128k-qa")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Marzu39/bert-base-turkish-128k-qa") model = AutoModelForQuestionAnswering.from_pretrained("Marzu39/bert-base-turkish-128k-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Marzu39/bert-base-turkish-128k-qa: direct link, hf CLI and curl.
- Browser
- Download file 3.55 kB
-
https://huggingface.co/Marzu39/bert-base-turkish-128k-qa/resolve/main/training_args.bin
- Command line
-
hf download hf://Marzu39/bert-base-turkish-128k-qa/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Marzu39/bert-base-turkish-128k-qa/resolve/main/training_args.bin
3.55 kB
- Xet hash:
- 38230655e9b2a1fa04c305760df0ac9ab31833b9b5be09693c919822d21cbd72
- Size of remote file:
- 3.55 kB
- SHA256:
- d791d16f0bef91d11232fe60ccdf93c8256d53d647463f5281eae03f7eaacfac
路
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