Instructions to use dbmdz/bert-base-turkish-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dbmdz/bert-base-turkish-uncased with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dbmdz/bert-base-turkish-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from dbmdz/bert-base-turkish-uncased: direct link, hf CLI and curl.
- Browser
- Download file 445 MB
-
https://huggingface.co/dbmdz/bert-base-turkish-uncased/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://dbmdz/bert-base-turkish-uncased/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/dbmdz/bert-base-turkish-uncased/resolve/main/pytorch_model.bin
445 MB
- Xet hash:
- af2ff54db3fce6e83756f186da0f7f190300d4fb8cf11add2c270be0b62110ea
- Size of remote file:
- 445 MB
- SHA256:
- 4c92c44294358709c7ba7376fdc6b8eb737a9a8ef50b21824aa42be281301b8e
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