Instructions to use TurkuNLP/wikibert-base-tr-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TurkuNLP/wikibert-base-tr-cased with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TurkuNLP/wikibert-base-tr-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from TurkuNLP/wikibert-base-tr-cased: direct link, hf CLI and curl.
- Browser
- Download file 408 MB
-
https://huggingface.co/TurkuNLP/wikibert-base-tr-cased/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://TurkuNLP/wikibert-base-tr-cased/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/TurkuNLP/wikibert-base-tr-cased/resolve/main/pytorch_model.bin
408 MB
- Xet hash:
- 90f4f33e79e75886bc04c1f6c6fc2f875636be08d57273b6bb90d13b926693ab
- Size of remote file:
- 408 MB
- SHA256:
- be954e338e8d04eb71c5c94d0fcc7475d6e0f6d410738402db4901b95c6eccee
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