Instructions to use TurkuNLP/wikibert-base-ur-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TurkuNLP/wikibert-base-ur-cased with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TurkuNLP/wikibert-base-ur-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from TurkuNLP/wikibert-base-ur-cased: direct link, hf CLI and curl.
- Browser
- Download file 408 MB
-
https://huggingface.co/TurkuNLP/wikibert-base-ur-cased/resolve/dc364981e3837bae80098bb070fc9ec9105724cf/pytorch_model.bin
- Command line
-
hf download hf://TurkuNLP/wikibert-base-ur-cased@dc364981e3837bae80098bb070fc9ec9105724cf/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/TurkuNLP/wikibert-base-ur-cased/resolve/dc364981e3837bae80098bb070fc9ec9105724cf/pytorch_model.bin
408 MB
- Xet hash:
- b4e6eeb905172ed3e2023996dea94172762212a2cbcba3b2d999a44c35377517
- Size of remote file:
- 408 MB
- SHA256:
- 3beb2e54908f1d951174483d0542b36d3a377d910b95fd6cfded51aa57d5b5a8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.