Instructions to use stanfordnlp/stanza-sd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Stanza
How to use stanfordnlp/stanza-sd with Stanza:
import stanza stanza.download("sd") nlp = stanza.Pipeline("sd") - Notebooks
- Google Colab
- Kaggle
Download models/default.zip from stanfordnlp/stanza-sd: direct link, hf CLI and curl.
- Browser
- Download file 341 MB
-
https://huggingface.co/stanfordnlp/stanza-sd/resolve/main/models/default.zip
- Command line
-
hf download hf://stanfordnlp/stanza-sd/models/default.zip
-
curl -L -o default.zip https://huggingface.co/stanfordnlp/stanza-sd/resolve/main/models/default.zip
341 MB
- Xet hash:
- ad654723e9b64cea141dfc3a077ce59ce139f9657099b9e9e7d7a0f2407557e9
- Size of remote file:
- 341 MB
- SHA256:
- e36acab51633f123176c0d1214f7935e0cd4b7a8c65615ab50ccc3230df5c50b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.