Instructions to use ipipan/pl_nask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use ipipan/pl_nask with spaCy:
!pip install https://huggingface.co/ipipan/pl_nask/resolve/main/pl_nask-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("pl_nask") # Importing as module. import pl_nask nlp = pl_nask.load() - Notebooks
- Google Colab
- Kaggle
Download tagger/model from ipipan/pl_nask: direct link, hf CLI and curl.
- Browser
- Download file 3.26 MB
-
https://huggingface.co/ipipan/pl_nask/resolve/main/tagger/model
- Command line
-
hf download hf://ipipan/pl_nask/tagger/model
-
curl -L -o model https://huggingface.co/ipipan/pl_nask/resolve/main/tagger/model
3.26 MB
- Xet hash:
- f5e3242e2823978963c1ce90ed3f1b8918fd6c463e45eaae8464016fe94b0fe4
- Size of remote file:
- 3.26 MB
- SHA256:
- cbae6daefd9fb031a2a355c18e6965886f5f9d6107199f5f44f7e6b4b54db4eb
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