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 pytorch_model.bin from savasy/bert-base-turkish-squad: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/savasy/bert-base-turkish-squad/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://savasy/bert-base-turkish-squad/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/savasy/bert-base-turkish-squad/resolve/main/pytorch_model.bin
443 MB
- Xet hash:
- 95d5c724a08912b6798cee305e135014d331a9594c5028e0e36835bea11c33ac
- Size of remote file:
- 443 MB
- SHA256:
- 99a231f0cf5d3dfd64055a6e2fde402c1d8894dd5f9a525e3956220dbbc761c6
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