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 # 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="savasy/bert-base-turkish-squad")# pip install -U transformers accelerate # 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
Download training_args.bin from savasy/bert-base-turkish-squad: direct link, hf CLI and curl.
- Browser
- Download file 1.41 kB
-
https://huggingface.co/savasy/bert-base-turkish-squad/resolve/main/training_args.bin
- Command line
-
hf download hf://savasy/bert-base-turkish-squad/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/savasy/bert-base-turkish-squad/resolve/main/training_args.bin
1.41 kB
- Xet hash:
- 2d61091b6e2fdd86bd39d8f2edc4711deee5cb659c843a4d176667ffc41d99e0
- Size of remote file:
- 1.41 kB
- SHA256:
- 2b706de8139a0c23fe04b378c164c6b3196f77dcc79dbbb5fed58b8d704bd9e2
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