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:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dbmdz/bert-base-turkish-uncased", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af2ff54db3fce6e83756f186da0f7f190300d4fb8cf11add2c270be0b62110ea
- Size of remote file:
- 445 MB
- SHA256:
- 4c92c44294358709c7ba7376fdc6b8eb737a9a8ef50b21824aa42be281301b8e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.