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 flax_model.msgpack from dbmdz/bert-base-turkish-uncased: direct link, hf CLI and curl.
- Browser
- Download file 442 MB
-
https://huggingface.co/dbmdz/bert-base-turkish-uncased/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://dbmdz/bert-base-turkish-uncased/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/dbmdz/bert-base-turkish-uncased/resolve/main/flax_model.msgpack
442 MB
- Xet hash:
- b37467b36b2210455f7dbcb56a7db89475fc2c7926dc885cdaa4b534f399dfc3
- Size of remote file:
- 442 MB
- SHA256:
- 0c46ad54c7132626a9cc1eef51929c896c902d7591ab243c905d8b2f3e1816a1
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