Instructions to use stcoats/de_STTS2_folk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use stcoats/de_STTS2_folk with spaCy:
!pip install https://huggingface.co/stcoats/de_STTS2_folk/resolve/main/de_STTS2_folk-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("de_STTS2_folk") # Importing as module. import de_STTS2_folk nlp = de_STTS2_folk.load() - Notebooks
- Google Colab
- Kaggle
Download tok2vec/model from stcoats/de_STTS2_folk: direct link, hf CLI and curl.
- Browser
- Download file 6.01 MB
-
https://huggingface.co/stcoats/de_STTS2_folk/resolve/main/tok2vec/model
- Command line
-
hf download hf://stcoats/de_STTS2_folk/tok2vec/model
-
curl -L -o model https://huggingface.co/stcoats/de_STTS2_folk/resolve/main/tok2vec/model
6.01 MB
- Xet hash:
- f640eb0b586b6fe7b684d4e45f11ccd3771ef50e6ee16242d794c5145d262614
- Size of remote file:
- 6.01 MB
- SHA256:
- 883776ab823aa44aa8262dc98f1ceabadaed96c518a514081c4640a9401d9513
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