Instructions to use TurkuNLP/wikibert-base-lv-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TurkuNLP/wikibert-base-lv-cased with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TurkuNLP/wikibert-base-lv-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from TurkuNLP/wikibert-base-lv-cased: direct link, hf CLI and curl.
- Browser
- Download file 408 MB
-
https://huggingface.co/TurkuNLP/wikibert-base-lv-cased/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://TurkuNLP/wikibert-base-lv-cased/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/TurkuNLP/wikibert-base-lv-cased/resolve/main/pytorch_model.bin
408 MB
- Xet hash:
- bef44dcf83fc576246c78c988251a1246d8d8bcfd73f5c34a2f154c2dcc767c3
- Size of remote file:
- 408 MB
- SHA256:
- f098f994df2d6dbb8999aca32da4f7eb2090b7b8a90025ba6bfea53b2a4d8f0c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.