Instructions to use Zlovoblachko/fo_parser_lemm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Zlovoblachko/fo_parser_lemm with spaCy:
!pip install https://huggingface.co/Zlovoblachko/fo_parser_lemm/resolve/main/fo_parser_lemm-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("fo_parser_lemm") # Importing as module. import fo_parser_lemm nlp = fo_parser_lemm.load() - Notebooks
- Google Colab
- Kaggle
Download transformer/model from Zlovoblachko/fo_parser_lemm: direct link, hf CLI and curl.
- Browser
- Download file 673 MB
-
https://huggingface.co/Zlovoblachko/fo_parser_lemm/resolve/main/transformer/model
- Command line
-
hf download hf://Zlovoblachko/fo_parser_lemm/transformer/model
-
curl -L -o model https://huggingface.co/Zlovoblachko/fo_parser_lemm/resolve/main/transformer/model
673 MB
- Xet hash:
- 98ff8383d634f31fa7baead78ada7bde16aa31cbb5cb015e7463f0179af78659
- Size of remote file:
- 673 MB
- SHA256:
- 35d21f221bba4c1dc587c730506f361ae39dbd0176300457813ac993297c2633
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