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 ner/moves from ipipan/pl_nask: direct link, hf CLI and curl.
- Browser
- Download file 436 Bytes
-
https://huggingface.co/ipipan/pl_nask/resolve/main/ner/moves
- Command line
-
hf download hf://ipipan/pl_nask/ner/moves
-
curl -L -o moves https://huggingface.co/ipipan/pl_nask/resolve/main/ner/moves
436 Bytes
| ��moves��{"0":{},"1":{"PERSNAME":25263,"ORGNAME":19663,"PLACENAME":14909,"DATE":8021,"GEOGNAME":5911,"TIME":1111},"2":{"PERSNAME":25263,"ORGNAME":19663,"PLACENAME":14909,"DATE":8021,"GEOGNAME":5911,"TIME":1111},"3":{"PERSNAME":25263,"ORGNAME":19663,"PLACENAME":14909,"DATE":8021,"GEOGNAME":5911,"TIME":1111},"4":{"PERSNAME":25263,"ORGNAME":19663,"PLACENAME":14909,"DATE":8021,"GEOGNAME":5911,"TIME":1111,"":1},"5":{"":1}}�cfg��neg_key� |